tag:blogger.com,1999:blog-82032212024-03-14T07:15:56.110-07:00Richard Sprague's Future BlogWhat I want to be when I grow up.Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comBlogger1034125tag:blogger.com,1999:blog-8203221.post-16968774409034365082015-12-11T12:38:00.004-08:002016-03-03T09:19:26.130-08:00Trying new blog softwareIf you came here hoping to find my latest blog entries, try this link instead:<br />
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<a href="http://richardsprague.com/">http://richardsprague.com</a><br />
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I'm trying to rebuild a personal site using my own software and it's going more slowly than I'd like, so please be patient. One of these days it'll be great.<br />
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<b>Meanwhile</b>, if you are here hoping to find more info about my work with the microbiome, please contact me directly. I'm working on a major new project to make it easy for normal people to analyze and understand their microbiome test results, and I would be grateful if you could send me your data in return for some cool analysis. Just <a href="mailto:richardsprague+b160303@gmail.com" target="_blank">email me</a>.<br />
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<br />Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-62575587847772431582015-10-16T11:19:00.001-07:002015-10-16T11:19:55.623-07:00Hunter-gatherers sleep like me<p>Anthropologists Gandhi Yetish, Hillard Kaplan and their colleagues <a href="http://www.cell.com/current-biology/pdfExtended/S0960-9822(15)01157-4">just published the results</a> of some experiments that show hunter gathers get much less sleep than the eight hours we supposedly need. In fact, their sleep patterns closely resemble mine, despite the conventional wisdom that my average 6.5 hours per night is too little. (There’s a nice summary by Anahad O'Connor in a <a href="http://well.blogs.nytimes.com/2015/10/15/112251/">New York Times Blog post</a>)</p>
<p>A long-time <a href="http://blog.richardsprague.com/2013/06/sleep-times-bodymedia-vs-zeo.html">fan of Zeo</a>, I have carefully measured my sleep for many years and I know that my lifetime average is pretty close to 6.5 hours. That’s <em>real</em> sleep, measured by a brain wave detector strapped to my head. Like other lazy people, I sometimes lay in bed longer than that, but it’s a rare occasion when my sleep duration is longer than 7 hours, even when I’m<a href="http://blog.richardsprague.com/2015/04/potato-starch-doesnt-help-my-sleep_25.html"> loaded with potato starch</a> to grow serotonin-helping bifidobacterium.</p>
<p>Because the new study appears to contradict the rest of conventional scientific wisdom about the importance of 8+ hours of sleep, I read it carefully, along with the data collected to see if I could spot any problems. So far I think everything adds up:</p>
<p><strong>Plenty of participants:</strong> 100 people, spread among male/female at different ages, including some fairly old: 60+</p>
<p><strong>Three separate, unrelated societies:</strong> from both Africa and South America, it’s hard to argue these people are somehow related at anything other than being hunter-gatherers.</p>
<p><strong>Week-long observations:</strong> You might want a study like this to go on for weeks or years, but I think the duration, from a week to a month per person was just fine. </p>
<p><strong>Good self-tracking hardware: </strong>the anthropologists used the <a href="http://www.usa.philips.com/healthcare/product/HC1044809/actiwatch-2-activity-monitor">Philips Actiwatch 2</a>, strapped to subjects’ wrists with a tamper-proof hospital band. These are well-studied, medical-grade wearables and although they use actigraphy information, not perfect because it’s based on movements in the night, if anything these devices tend to <em>overestimate</em> the amount of sleep. I skimmed the data from the study and it looks good.</p>
<p>The authors conclude that ambient temperature, not daylight, is the most important signal that tells these hunter-gatherers it’s time to sleep. They note that these people sleep no the ground on skin mats, inside huts or in the outdoors, often covered with lightweight cotton blankets. This isn’t all that different from camping, when I tend if anything to sleep <em>more</em>. </p>
<p>Interestingly, when <a href="http://www.industrycortex.com/datasheets/profile/1006212110/age-related-changes-in-objectively-measured-sleep-observed-in-a-l">Zeo studied 5000 of their users back in 2011</a>, they found an average sleep time of something closer to 8 hours, with my 6.5 hours falling out of the 95% confidence interval, making me (and the hunter gatherers) real outliers.</p>
<p>Note that although I rarely sleep longer than 6.5 hours, I feel great in the morning and I’m generally alert and feel reasonably fresh all day. Like the hunter-gatherers, I don’t nap and I rarely suffer from insomnia.</p>
<p>I’ll be watching the follow-ups to this research carefully but for now I’ll be much more satisfied that my current level of sleep is just fine.</p>
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<p> </p>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-89983392789641970802015-09-28T20:18:00.001-07:002015-09-28T20:21:27.463-07:00Microbes on my skinFor some reason I haven’t had good luck getting uBiome to process my skin microbe samples. I swab the skin under my ear, just as directed, back and forth for a minute or so. I use their special water. The results always come back later saying they found nothing.<br />
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So today, imagine my surprise when they sent me a nice note announcing that they’d re-run my latest skin sample and found something! The web site version only found two phyla, which at first didn’t seem very interesting:<br />
<img alt="Skin Sample Compared" border="0" height="196" src="https://lh3.googleusercontent.com/-nk1QVtI51Q0/VgoDDExuwuI/AAAAAAADV3Y/fBJzZ0OeOeY/ubiomeSkinWebVersion.png?imgmax=800" title="ubiomeSkinWebVersion.png" width="400" /><br />
The sample shows up as only two taxa: Actinobacteria (96%) and Firmicutes (the rest). Fortunately, by downloading the taxonomy data and converting to Excel, I was able to get more details. Here’s my skin at the genus level:<br />
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<img alt="Skin Microbes (Genus)" border="0" height="268" src="https://lh3.googleusercontent.com/-kaTUzOJ9_OY/VgoDBX1ZmdI/AAAAAAADV3Q/fuDhpfOedAQ/SkinMicrobes1506.jpg?imgmax=800" title="SkinMicrobes1506.jpg" width="400" /><br />
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The vast, vast majority of microbes behind my ear are Propionibacteria, which appears to be true for most people and most skin types. This genus contains the special P. Acnes species known to be linked to acne. The species level information in my case only identified about half of all the taxa found in my sample, so although none of what was found was P. Acnes, it’s possible that it’s lurking in there someplace.<br />
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Since learning more about the microbiome, I’ve stopped using hand sanitizers, switched to shampoo that is free of sodium laurel sulfate, and I take other precautions to ensure i have the most “natural” skin microbiome I can get, but I don’t know if those actions have helped (or hurt). The only way to find out will be to send another sample so I can compare. Now that I know uBiome is able to process my skin type, I’ll be sure to do that.Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-78783139550693726382015-09-15T16:13:00.001-07:002015-09-15T16:13:22.511-07:00I'm a secretor<p> The <a href="http://thegutinstitute.com/2015/08/gut-guardians-podcast-episode-24-being-10-human-w-alanna-collen.html">Gut Guardians podcast</a> interview with Alanna Collen included an interesting reference to the FUT2 gene, which the podcast hosts says has been linked to response to high fiber diets. One of the alleles, referred to as the non-secretor type, offers a <a href="http://www.snpedia.com/index.php/Rs601338">genetic immunity to infection</a> by the Norwalk Norovirus, also known as the “cruise ship virus”. </p>
<p>Alas, I’m not immune to that particular virus, but if you have to choose I think it’s better to have the “secretor allele”, like me. Overall, secretors seem less susceptible to many influenza strains and pathogenic bacteria, perhaps due to our better response to high fiber. </p>
<p>What’s especially interesting is that how FUT2 also seems to be associated with your microbiome. Secretors have <a href="http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0020113&representation=PDF">noticeably different levels</a> of various bacteria, including missing Bifido species that are known to play a role in health. This is another example of how genes don’t have the final say: you may not get the full benefits of being a secretor if you don’t eat enough fiber.</p>
<p>If you have your 23andme results, you can <a href="https://www.23andme.com/you/explorer/snp/?snp_name=rs601338">check your FUT2</a> status too.</p>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-89649125490936210542015-08-25T15:05:00.001-07:002015-08-25T15:05:17.972-07:00Measuring my uBiome diversity<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;">While there are few agreed-upon standards for what constitutes a good or bad microbiome, nearly everyone agrees that a diverse microbiome is better than one that is less diverse. How can we measure diversity?</p>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;">Ecologists have been interested in this question for a long time and they’ve developed several metrics to describe how diverse a particular ecosystem is compared to another. This is my very tentative first step to try to adopt those metrics to my Ubiome results.</p>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;">You could simply count all the different species (or genera or phyla) in a sample and track that over time. The more unique species, the more diversity. Here’s what that looks like for me:</p>
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" alt="Diversity Through Time" /></p>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;">In this case, all I did was plot the raw number of taxa that uBiome found at each tax_rank. That’s about 60 species in my latest sample. But since 16S technology doesn’t capture all the species information, or the genera or phyla information for that matter, a simple count of the number of organisms detected is not terribly useful. In my case, uBiome identified between 90-97% of all the phyla in my samples, but only between 49-51% of the species. That makes apples-to-apples comparisons difficult to interpret. </p>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;"><span style="color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;"><span style="color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;">Ecologists have suffered from this problem for a long time, and they came up with a few metrics to get around the it. They start by considering what it means to say something is more diverse than another. Consider a forest that has 1,000 trees in it. If all 1,000 trees are, say, aspen trees, then that forest is not as diverse as another one that might also have 1,000 individual trees but, say, 1,000 unique species.</span></span></p>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;"> </p>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;">There’s a unit of information called the Shannon number, after the information theorist Claude Shannon, who was the first mathematician to systematically try to measure information. To Shannon, whose work was concerned with code breaking in World War II, a radio signal that carries information (i.e. a code) will be slightly different from one that is random noise. He applied a specific formula to tell how different a signal looks compared to random noise, a variation of which can be applied to an ecosystem to tell how different it is from one that is completely dead (0) or has nothing but the same or similar organisms.</p>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;"> </p>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;">I use a slightly more ecologically interesting version of the Shannon number, called the Inverse Simpson number, that looks at the total number of unique life forms in an ecosystem and then weights each by the number of individuals of that type of species. Conveniently, these functions are all available in the<a href="http://cc.oulu.fi/~jarioksa/softhelp/vegan/html/diversity.html"> R “Vegan” package</a>. Here’s how I set up my R environment to do the calculations:</p>
<pre class="r" style="box-sizing: border-box; overflow: auto; font-size: 13px; padding: 9.5px; margin: 0px 0px 10px; line-height: 1.42857143; color: #333333; word-break: break-all; word-wrap: break-word; background-color: #f5f5f5; border: 1px solid #cccccc; border-top-left-radius: 4px; border-top-right-radius: 4px; border-bottom-right-radius: 4px; border-bottom-left-radius: 4px;"><code class="r" style="box-sizing: border-box; font-size: inherit; padding: 0px; color: inherit; background-color: transparent; border-top-left-radius: 0px; border-top-right-radius: 0px; border-bottom-right-radius: 0px; border-bottom-left-radius: 0px; white-space: pre-wrap;"><span class="identifier" style="box-sizing: border-box; color: #000000;">allSprague</span> <span class="operator" style="box-sizing: border-box; color: #687687;"><-</span> <span class="identifier" style="box-sizing: border-box; color: #000000;">read.csv</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"spragueResultsThruJun2015.csv"</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span> <br /><span class="identifier" style="box-sizing: border-box; color: #000000;">allGenus</span> <span class="operator" style="box-sizing: border-box; color: #687687;"><-</span> <span class="identifier" style="box-sizing: border-box; color: #000000;">allSprague</span><span class="paren" style="box-sizing: border-box; color: #687687;">[</span><span class="identifier" style="box-sizing: border-box; color: #000000;">allSprague</span><span class="operator" style="box-sizing: border-box; color: #687687;">$</span><span class="identifier" style="box-sizing: border-box; color: #000000;">tax_rank</span><span class="operator" style="box-sizing: border-box; color: #687687;">==</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"genus"</span>,<span class="paren" style="box-sizing: border-box; color: #687687;">]</span> <br /><span class="identifier" style="box-sizing: border-box; color: #000000;">allPhylum</span><span class="operator" style="box-sizing: border-box; color: #687687;"><-</span><span class="identifier" style="box-sizing: border-box; color: #000000;">allSprague</span><span class="paren" style="box-sizing: border-box; color: #687687;">[</span><span class="identifier" style="box-sizing: border-box; color: #000000;">allSprague</span><span class="operator" style="box-sizing: border-box; color: #687687;">$</span><span class="identifier" style="box-sizing: border-box; color: #000000;">tax_rank</span><span class="operator" style="box-sizing: border-box; color: #687687;">==</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"phylum"</span>,<span class="paren" style="box-sizing: border-box; color: #687687;">]</span> <br /><span class="identifier" style="box-sizing: border-box; color: #000000;">allSpecies</span><span class="operator" style="box-sizing: border-box; color: #687687;"><-</span><span class="identifier" style="box-sizing: border-box; color: #000000;">allSprague</span><span class="paren" style="box-sizing: border-box; color: #687687;">[</span><span class="identifier" style="box-sizing: border-box; color: #000000;">allSprague</span><span class="operator" style="box-sizing: border-box; color: #687687;">$</span><span class="identifier" style="box-sizing: border-box; color: #000000;">tax_rank</span><span class="operator" style="box-sizing: border-box; color: #687687;">==</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"species"</span>,<span class="paren" style="box-sizing: border-box; color: #687687;">]</span> <br /><span class="identifier" style="box-sizing: border-box; color: #000000;">allSamples</span> <span class="operator" style="box-sizing: border-box; color: #687687;"><-</span> <span class="identifier" style="box-sizing: border-box; color: #000000;">allGenus</span><span class="paren" style="box-sizing: border-box; color: #687687;">[</span>,<span class="operator" style="box-sizing: border-box; color: #687687;">-</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="number" style="box-sizing: border-box; color: #009999;">1</span><span class="operator" style="box-sizing: border-box; color: #687687;">:</span><span class="number" style="box-sizing: border-box; color: #009999;">2</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span><span class="paren" style="box-sizing: border-box; color: #687687;">]</span> <br /><span class="keyword" style="box-sizing: border-box; color: #990000; font-weight: bold;">require</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"vegan"</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">quietly</span><span class="operator" style="box-sizing: border-box; color: #687687;">=</span><span class="literal" style="box-sizing: border-box; color: #990073;">TRUE</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span></code></pre>
<pre style="box-sizing: border-box; overflow: auto; font-size: 13px; padding: 9.5px; margin: 0px 0px 10px; line-height: 1.42857143; color: #333333; word-break: break-all; word-wrap: break-word; border: 1px solid #cccccc; border-top-left-radius: 4px; border-top-right-radius: 4px; border-bottom-right-radius: 4px; border-bottom-left-radius: 4px;"> </pre>
<pre class="r" style="box-sizing: border-box; overflow: auto; font-size: 13px; padding: 9.5px; margin: 0px 0px 10px; line-height: 1.42857143; color: #333333; word-break: break-all; word-wrap: break-word; background-color: #f5f5f5; border: 1px solid #cccccc; border-top-left-radius: 4px; border-top-right-radius: 4px; border-bottom-right-radius: 4px; border-bottom-left-radius: 4px;"><code class="r" style="box-sizing: border-box; font-size: inherit; padding: 0px; color: inherit; background-color: transparent; border-top-left-radius: 0px; border-top-right-radius: 0px; border-bottom-right-radius: 0px; border-bottom-left-radius: 0px; white-space: pre-wrap;"><span class="identifier" style="box-sizing: border-box; color: #000000;">dV</span> <span class="operator" style="box-sizing: border-box; color: #687687;"><-</span> <span class="identifier" style="box-sizing: border-box; color: #000000;">sapply</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="identifier" style="box-sizing: border-box; color: #000000;">allSamples</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">fisher.alpha</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span> <br /><span class="identifier" style="box-sizing: border-box; color: #000000;">names</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="identifier" style="box-sizing: border-box; color: #000000;">dV</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span><span class="operator" style="box-sizing: border-box; color: #687687;"><-</span><span class="identifier" style="box-sizing: border-box; color: #000000;">c</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="identifier" style="box-sizing: border-box; color: #000000;">as.Date</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"2014-5-23"</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">as.Date</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"2014-6-10"</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">as.Date</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"2014-10-23"</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">as.Date</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"2015-1-15”</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">as.Date</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"2015-2-20"</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">as.Date</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"2015-4-20"</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">as.Date</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"2015-4-27"</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">as.Date</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"2015-6-15"</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span> <br /><br /><span class="identifier" style="box-sizing: border-box; color: #000000;">g</span><span class="operator" style="box-sizing: border-box; color: #687687;"><-</span><span class="identifier" style="box-sizing: border-box; color: #000000;">names</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="identifier" style="box-sizing: border-box; color: #000000;">allSprague</span><span class="paren" style="box-sizing: border-box; color: #687687;">)<br /></span><span class="identifier" style="box-sizing: border-box; color: #000000;">dPDates</span><span class="operator" style="box-sizing: border-box; color: #687687;"><-</span><span class="identifier" style="box-sizing: border-box; color: #000000;">as.Date</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="identifier" style="box-sizing: border-box; color: #000000;">names</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="identifier" style="box-sizing: border-box; color: #000000;">dV</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span></code></pre>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;">Here is my diversity as an Inverse Shannon number:</p>
<pre class="r" style="box-sizing: border-box; overflow: auto; font-size: 13px; padding: 9.5px; margin: 0px 0px 10px; line-height: 1.42857143; color: #333333; word-break: break-all; word-wrap: break-word; background-color: #f5f5f5; border: 1px solid #cccccc; border-top-left-radius: 4px; border-top-right-radius: 4px; border-bottom-right-radius: 4px; border-bottom-left-radius: 4px;"><code class="r" style="box-sizing: border-box; font-size: inherit; padding: 0px; color: inherit; background-color: transparent; border-top-left-radius: 0px; border-top-right-radius: 0px; border-bottom-right-radius: 0px; border-bottom-left-radius: 0px; white-space: pre-wrap;"><span class="comment" style="box-sizing: border-box; color: #999988; font-style: italic;">#genus diversity<br /></span><span class="identifier" style="box-sizing: border-box; color: #000000;">dG</span> <span class="operator" style="box-sizing: border-box; color: #687687;"><-</span> <span class="identifier" style="box-sizing: border-box; color: #000000;">sapply</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="identifier" style="box-sizing: border-box; color: #000000;">allGenus</span><span class="paren" style="box-sizing: border-box; color: #687687;">[</span>,<span class="operator" style="box-sizing: border-box; color: #687687;">-</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="number" style="box-sizing: border-box; color: #009999;">1</span><span class="operator" style="box-sizing: border-box; color: #687687;">:</span><span class="number" style="box-sizing: border-box; color: #009999;">2</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span><span class="paren" style="box-sizing: border-box; color: #687687;">]</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">diversity</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">index</span><span class="operator" style="box-sizing: border-box; color: #687687;">=</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"invsimpson"</span><span class="paren" style="box-sizing: border-box; color: #687687;">)<br /></span><span class="identifier" style="box-sizing: border-box; color: #000000;">plot</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="identifier" style="box-sizing: border-box; color: #000000;">dG</span><span class="operator" style="box-sizing: border-box; color: #687687;">~</span><span class="identifier" style="box-sizing: border-box; color: #000000;">dPDates</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">main</span><span class="operator" style="box-sizing: border-box; color: #687687;">=</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"Genus Diversity"</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">xlab</span><span class="operator" style="box-sizing: border-box; color: #687687;">=</span><span class="string" style="box-sizing: border-box; color: #dd1144;">""</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">ylab</span><span class="operator" style="box-sizing: border-box; color: #687687;">=</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"Inv Simpson Diversity"</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">xaxt</span><span class="operator" style="box-sizing: border-box; color: #687687;">=</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"n"</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span> <br /><span class="identifier" style="box-sizing: border-box; color: #000000;">axis</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="number" style="box-sizing: border-box; color: #009999;">1</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">at</span><span class="operator" style="box-sizing: border-box; color: #687687;">=</span><span class="identifier" style="box-sizing: border-box; color: #000000;">dPDates</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">labels</span><span class="operator" style="box-sizing: border-box; color: #687687;">=</span><span class="identifier" style="box-sizing: border-box; color: #000000;">g</span><span class="paren" style="box-sizing: border-box; color: #687687;">[</span><span class="operator" style="box-sizing: border-box; color: #687687;">-</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="number" style="box-sizing: border-box; color: #009999;">1</span><span class="operator" style="box-sizing: border-box; color: #687687;">:</span><span class="number" style="box-sizing: border-box; color: #009999;">2</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span><span class="paren" style="box-sizing: border-box; color: #687687;">]</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">las</span><span class="operator" style="box-sizing: border-box; color: #687687;">=</span><span class="number" style="box-sizing: border-box; color: #009999;">2</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span> <br /><span class="identifier" style="box-sizing: border-box; color: #000000;">abline</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="identifier" style="box-sizing: border-box; color: #000000;">lm</span><span class="paren" style="box-sizing: border-box; color: #687687;">(</span><span class="identifier" style="box-sizing: border-box; color: #000000;">dG</span><span class="operator" style="box-sizing: border-box; color: #687687;">~</span><span class="identifier" style="box-sizing: border-box; color: #000000;">dPDates</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span>,<span class="identifier" style="box-sizing: border-box; color: #000000;">col</span><span class="operator" style="box-sizing: border-box; color: #687687;">=</span><span class="string" style="box-sizing: border-box; color: #dd1144;">"red"</span><span class="paren" style="box-sizing: border-box; color: #687687;">)</span></code></pre>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;"><img style="box-sizing: border-box; vertical-align: middle; max-width: 100%; height: auto;" title="" 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PDDQOpSXF/279+vQ4cOKSIiQpZlxR0Phg+2bSs6Otrtt+k/BQEEEEAg7QR8Pp/8fn9Q/jxJOzWejMDlC/D3oMu3S+6V2CdXkOuTIhD7583r9crjSd6cLvNvJ3O/YPy3X1LMaJuwgPm7mvk7W8GCBZU1a9aEG6bhmd27d6fh00Pn0URIQuddBsVIihYt6vbzzz//lKmBXM6cORPI3bto38wP8dOnT1+0DScRQAABBK6MQDD/PLkyQjwFgZQV4O9BKeuZlLthnxQt2iZXwAQvU6rwszqlJIP3Pjt37gzozpvJWddcc01A9zHQO2c5P6TsQO8k/Qstgc2bNyuQf8C88sorGjNmjJ566ik1btw4qPDNzNU2bdooZ86cGjVqVFD1nc4igAACoSbQqVMnbdmyRUOGDFHx4sVDbXiMB4GAEzCreNq1a6fIyEiNGDEi4PoXyh06ePCg2rZtq1y5cmnkyJGhPFTGFgAC06ZNc3+2NmzYUJ07d05Wj1q1aqWjR4/qiy++UI4cOZJ1Ly4OToF3331XU6dOVc+ePdWyZcuAHYSZnVqoUKGA7V8wdIwZoMHwlkKsj4H+j0ATPDSlfPnyatKkSVDp79271+1vhgwZgq7vQQVNZxFAAIFECPTo0cNtVaNGDVWqVCkRV9AEAQSSI7Bjxw738kyZMvH3oORAXsa1scszM2bMiP1l+HFJ0gRi/7wVKVIk2X/e0qdP7z68QYMG7i9PktYTWoeCwIQJE9xh5MuXT2XKlAmFITGGBASSt2FGAjflMAIIIIAAAggggAACCCCAAAIIIIAAAgggEAgCBEAD4S3QBwQQQAABBBBAAAEEEEAAAQQQQAABBBBIFQECoKnCyk0RQAABBBBAAAEEEEAAAQQQQAABBBBAIBAECIAGwlugDwgggAACCCCAAAIIIIAAAggggAACCCCQKgIEQFOFlZsigAACCCCAAAIIIIAAAggggAACCCCAQCAIEAANhLdAHxBAAAEEEEAAAQQQQAABBBBAAAEEEEAgVQQIgKYKKzdFAAEEEEAAAQQQQAABBBBAAAEEEEAAgUAQIAAaCG+BPiCAAAIIIIAAAggggAACCCCAAAIIIIBAqggQAE0VVm6KAAIIIIAAAggggAACCCCAAAIIIIAAAoEgQAA0EN4CfUAAAQQQQAABBBBAAAEEEEAAAQQQQACBVBEgAJoqrNwUAQQQQAABBBBAAAEEEEAAAQQQQAABBAJBgABoILwF+oAAAggggAACCCCAAAIIIIAAAggggAACqSJAADRVWLkpAggggAACCCCAAAIIIIAAAggggAACCASCAAHQQHgL9AEBBBBAAAEEEEAAAQQQQAABBBBAAAEEUkWAAGiqsHJTBBBAAAEEEEAAAQQQQAABBBBAAAEEEAgEAQKggfAW6AMCCCCAAAIIIIAAAggggAACCCCAAAIIpIoAAdBUYeWmwSyQPXt2t/s5cuQIumFkzpxZERERih1D0A2ADiOAAAIhJBD73+LYryE0NIaCQEAKZMmSRV6vl78HpcHbMX8HNfbB+PfnNODikckUiP25mhJ/3sy90qVLp0yZMiWzV1werAKxf55ivwbrOOj3pQUs2ymXbkYLBMJH4O+//9acOXPUuHFj9y9ywTbyRYsWKWfOnCpVqlSwdZ3+IoAAAiElsGPHDm3ZskW1a9cOqXExGAQCWWDhwoWKjIxUiRIlArmbIdk3Y587d26VLFkyJMfHoAJHwOfzaerUqapZs2ayf+Gxfv16HT16VFFRUYEzQHpyRQWC/d//VxQryB9GADTIXyDdRwABBBBAAAEEEEAAAQQQQAABBBBAAIGEBVgCn7ANZxBAAAEEEEAAAQQQQAABBBBAAAEEEEAgyAUIgAb5C6T7CCCAAAIIIIAAAggggAACCCCAAAIIIJCwAAHQhG04gwACCCCAAAIIIIAAAggggAACCCCAAAJBLkAANMhfIN1HAAEEEEAAAQQQQAABBBBAAAEEEEAAgYQFCIAmbMMZBBBAAAEEEEAAAQQQQAABBBBAAAEEEAhyAQKgQf4C6T4CCCCAAAIIIIAAAggggAACCCCAAAIIJCxAADRhG84ggAACCCCAAAIIIIAAAggggAACCCCAQJALEAAN8hdI9xFAAAEEEEAAAQQQQAABBBBAAAEEEEAgYQECoAnbcAYBBBBAAAEEEEAAAQQQQAABBBBAAAEEglyAAGiQv0C6jwACCCCAAAIIIIAAAggggAACCCCAAAIJCxAATdiGMwgggAACCCCAAAIIIIAAAggggAACCCAQ5AIEQIP8BdJ9BBBAAAEEEEAAAQQQQAABBBBAAAEEEEhYgABowjacQQABBBBAAAEEEEAAAQQQQAABBBBAAIEgFyAAGuQvkO4jgAACCCCAAAIIIIAAAggggAACCCCAQMICBEATtuEMAggggAACCCCAAAIIIIAAAggggAACCAS5AAHQIH+BdB8BBBBAAAEEEEAAAQQQQAABBBBAAAEEEhYgAJqwDWcQQAABBBBAAAEEEEAAAQQQQAABBBBAIMgFCIAG+Quk+wgggAACCCCAAAIIIIAAAggggAACCCCQsEBEwqc4gwACRmDz5s3asWOHi1G7dm1ZlhU0MD6fT3PnznX7e80116hYsWJB03c6igACCISaQDD/PAm1d8F4Qlvgn3/+0erVq7Vy5UodPHhQJUuWVJkyZVSqVCl5/6+984B3ouj+/qH3JiCI9KLSQZGOICoiokgVUJQiRdEHRPABleKjoCAgKkoVlCKgiNKbIFWpooB0lN57kU7e/c3/3TXJzU02yeYmm/3N55ObLVO/szcze+bMOSlSxHfjo9w6so9yBziseKueN5fLJfv371e/Gdu3b5ds2bKp34wSJUpI9uzZHUbVmc3lM+CMfk+mdbTLGU1lK0kgNAKvv/66DBs2TCW+ceOGpExpn3WD8+fPS9asWVXd3377bXn//fdDg8BUJEACJEACYROw83gSduOZAQmEQWDp0qWyefNmlUOHDh0kffr0PnO7fv26DBgwQH0wZ/MO9957rwwcOFAaNGjgfYvniRAg+0TA8HJECFj1vGHRo0aNGlK6dGkpU6aM1K5dO9H6btq0Sdq2bSu///57gjh472vfvr3069dP7rzzzgT3eSF2Cfzzzz8yevRoVUE+A7HbT0leMwhAGUiABBIn0LVrVywSqI82mU48YgzeOXfunFF3TQAagzVklUiABEjAOQTsPJ44p5fY0lgk0KlTJ2M+c/ToUZ9V3Ldvn6tUqVJGPH3u5uu7Xr16LrvN6Xw2Ogkukn0SQGYRBgGrnzf8/2sCTCN/74MPP/zQpQk5A/5uZMqUybVgwQLv5DyPYQLHjh0z+rVjx46J1pTPQKJo4vKGfVTZtF8vBhIIlYAmCBTtRzCk5GfOnDHS7dy5M8HWqRw5cgg+kQx79uyRmzdvBl3ExYsXjTTYArZjxw7jXD/AljAGEiABEiABcwTsPp6YayVjkYC9CGhvadK6dWvZunWrUfHy5ctL2bJlJX/+/Gpr67Zt22T9+vXq/rx586Rbt27y6aefGvF5EBoBsg+NG1OFRiDY5w2l/Prrrz4Lg7Zpr169BHkiYNdc9erV1dZ3XMN735o1a+TUqVOCd6oWLVqo35AiRYr4zI8X7UeAz4D9+izsGmv/3AwkEPcERo4caawAaf80lh5rWyIizi937tyW1tmdQcQrzwJIgARIII4I2H08iaOuYFMcRCCQVpgmyDTmSZgzzZgxwycd7WXXVbx4cSPuV1995TMeL/5LgOz/ZcGjyBOw6nmbPn268X+O9x7v/3VNoOnSFkeMOM8//7zrxIkTCRqomRNzaYslLs12sIoLLfNLly4liMcLsUcgkAYon4HY67Ok/nCvZwAAQABJREFUqBG9wIctQmYGJEACJEACJEACJEACJEAC0SIwceJEVTQcVX777bfSsGFDn1V5+OGHZdmyZaIJSdX9oUOH+ozHi+YJkL15VowZPgGzzxs0Od2D9//6ihUr5MCBAyrKY489Jsg3Z86c7knUcebMmWXIkCHSp08fdQ4t80WLFiWIxwv2I8BnwH59ZkWNuQXeCorMI+YJaLaepFq1arJ69WqjrpUrV5aCBQsa54kd/Pbbb7Jr1y51u1mzZpI8uee6gbYSmFhSy6737t1b3njjDbl69arKU7NDI2hTII/0cAagaUGoNPBiCAPQDCRAAiRAAqETsPt4EnrLmZIEYpPArVu3lOdm1A7zNDg+8RfgyATOLZs3by7YFn/lyhVJly6dvyS8lwgBsk8EDC9HhECwz5t7Jbz/190dHpkxhfHOO++oxZU///xTNmzYkOgii3uZPI5tAnwGYrt/IlU7CkAjRZb5xhSBfPnyyfLly0Uzcqy8+MGeJgYwzSCyshnlr7Lw2qsLQCdPnhwVL/CvvPKK1KpVS5577jnloRB2aGCHbty4cZInT55Eqw8v8LoAFNoQ9AKfKCreIAESIAFTBOw+nphqJCORgI0IaM6PjAXiihUrmqo5NEERMB/ES3CVKlVMpWMkTwJk78mDZ5ElEMrzptfI+399+/bt6hY0PM34Q4ACzEMPPaTeHyEAZbA/AT4D9u/DUFrgqcoWSg5MQwI2IaDZbhHNE7oyhH3PPfcoY9Zt2rSRRo0aKePWsd4MaHCuXbtWevToobRQFy5cKKVLl1arkbFed9aPBEiABOKJgN3Hk3jqC7aFBHLlymXsiIF2p5mAra5p06ZVUffv328mCeP4IED2PqDwUsQIhPK8oTIYsxHc/9fvuusudc3Xtnd1w8cfOFRDcM/HRzResgkBPgM26SiLq0kBqMVAmV3sE6hQoYJs2rRJaX+itj/88INgG/ucOXNivvKpU6eWQYMGyZIlSwRaSPBQ/+yzz4pmuFug7clAAiRAAiSQdATsPJ4kHSWWRAKRJZAxY0bl6R2lJObt2bsG7ppk9OjsTcf8OdmbZ8WY4RMI5XlDqdg6j+D+vw7FEoS9e/eK5vxIHQf6o2sMuucTKA3vxy4BPgOx2zeRrBkFoJGky7xjlkD69OlF8+Qrs2bNUgavjx8/Lk899ZQSil6+fDlm661XDNvhN2/eLC1atFCXsDUf2qCad1M9Cr9JgARIgASSgIDdx5MkQMQiSMBSAn/88Yex5V3PuH379uoQ8yDNi6x+OdFvODXRw7333qsf8jsAAbIPAIi3LSVgxfPmXiH3/3XsALzjjjvUbTPvT9D61DzLq/hmtsy7l8vj6BM4cuSIHDx40KMifAY8cDjmhAJQx3Q1G+qLAISeW7ZskSeffFLdHj16tJQtW9a0BoGvPJPqWtasWeWbb76RSZMmSZYsWdSP+qOPPirdunVL8GKQVHViOSRAAiTgVAJ2Hk+c2mdstz0J1K1bV+AMsly5ctKuXTsZMWKEwLElbPnt2LFDunfvnmjDIByFN2ikQYAtUKRjMEeA7M1xYixrCIT7vHnXolixYsqJLJzLQujZsmVLFaVr166ye/du7+jGObREISz7559/1LWnn37auMcDexCYPXu22ikAMwpwZslnwB79FpFaahMBBhIgAY3AF1984dK8gEJtwKXZinFp9kJdmhd1lzYoqmu4fuPGjZhkpa1KujTD3EY9S5Ys6dK817s0R0nGNbSHgQRIgARIIPIE7DyeRJ4OSyCB4Am8/PLLxnwG87FAn6+//tqjkFOnTrn69evnKl++vJEWcz1Nw8wjHk8SEiD7hEx4JXIErHreNPNmxv96oN8L3C9UqFCCRs2bN8+lOaB1aVvvjbyaNGmSIB4vxCYBbYen0W98BmKzj6JRq2QoVHsgGEiABDQCO3fuVJ7WN27cqHjcf//9AgPJc+fOVeeaADQqXuDNdM7t27eVfdA+ffoI6pkqVSp54403lOd7pIcDKHqBN0OScUiABEggfAJ2Hk/Cbz1zIAFrCWCOs2vXLmXDHV7b9U9itvvGjh2rtEP1WmArLTRG9ZAsWTIZMGCA9OzZU7/E70QIkH0iYHg5IgSsft5QSez0y549u/rdgB1PvCd5h7x58ybYIt2wYUP58ccfjahwovvTTz8pPwzGRR7ENIGzZ88Kfv/h/0MfN/gMxHSXRbxyFIBGHDELsBsBDIp9+/aVgQMHCgZh9xDLAlC9nprmpxLiYhuYe6AA1J0Gj0mABEgg8gTsPp5EnhBLIIHwCMCum/5Si2+85GK7KoQUtWvXNjI/evSo5MmTR51DEDJhwgS1DdKIwIOgCZB90MiYIAwCVj1v165dkz///NP43cBvBvwqwATaihUrPGrYsWNHgXk0hGbNmgkWVmB+g8HeBPgM2Lv/wq09BaDhEmT6uCWwcuVKadWqlcDotR7sIABFXa9cuSI9evSQzz//XK86NUANEjwgARIggaQlYOfxJGlJsTQSCJ/AxYsXJXXq1JImTRojs5s3b6p50GOPPSbVq1eXtGnTGvd4YB0BsreOJXMKTMCq5w0bYs+cOaO0RN1LnTFjhmjmMwS/G9oWefdbPI4zAnwG4qxD/TSHAlA/cHiLBC5cuKC2kGNQRNDsukny5PbxHTZ//nyZOXOmqjsMPtNot0LBPyRAAiSQ5ATsPp4kOTAWSAIkQAIkQAIkQAIkQAIWEqAA1EKYzIoESIAESIAESIAESIAESIAESIAESIAESIAESCC2CNhHlS22uLE2JEACJEACJEACJEACJEACJEACJEACJEACJEACNiBAAagNOolVJAESIAESIAESIAESIAESIAESIAESIAESIAESCI0ABaChcWMqEiABEiABEiABEiABEiABEiABEiABEiABEiABGxCgANQGncQqkgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJhEaAAtDQuDEVCZAACZAACZAACZAACZAACZAACZAACZAACZCADQiktEEdWUUSCJvARx99JAMHDgw7H18ZvPnmm4JPJEPOnDnF5XJFpIhTp05FJF9mSgIkQALxSMDu40k89gnbFP8EOA+KXh+TffTYO7Fkq563K1euCD7u4Y477nA/Dfk4Kd79Qq4cExoEOF8zUPDAjQAFoG4weBi/BK5evSqnT5+OSAO9B9dIFHLmzBm5fft2JLJmniRAAiRAAkEQsPt4EkRTGZUEYoYA50HR6wqyjx57J5YcyefNqnfBpHj3c2LfW91mztesJhof+VEAGh/9yFYEINC9e3c5f/68fPzxx4YgMX369JItW7YAKQPfzpQpU+BIYcZYuXKltGnTRnbt2mXklDt3bkmRIoVxzgMSIAESIIHIE7D7eBJ5QiyBBKwnwHmQ9UzN5kj2ZkkxnhUErHresHPuwoULcunSJaNadnr3MyrNg5AJcL4WMrq4TphM+3GIzL7auMbGxtmVwIQJE6Rt27Zy69YtyZEjh/zxxx+SJ08eWzTn7NmzUrduXVm3bp2q71tvvSX9+/e3Rd1ZSRIgARKINwJ2Hk/irS/YHmcQ4Dwoev1M9tFj78SSrXzeOFY78QnybDOfAU8eTj+jANTpT4AD2z9mzBjp0KGDannt2rVl8eLFkjy5PfyBYSWzcuXKsn37dlVn1B1tYCABEiABEkh6AnYeT5KeFkskgfAJcB4UPsNQcyD7UMkxXSgErHzeOFaH0gPxlYbPQHz1ZzitsYfUJ5wWMi0JeBFo3769PPHEE+rq0qVL1bZ4rygxe5o5c2b58ssvlfATNkFbtWqltnfEbIVZMRIgARKIYwJ2Hk/iuFvYtDgmwHlQ9DqX7KPH3oklW/m8cax24hPk2WY+A548nHxGAaiTe9/BbR81apTotjsHDBggFy9etA2NKlWqyGuvvabqe+TIERk+fLht6s6KkgAJkEC8EbDzeBJvfcH2OIMA50HR62eyjx57J5Zs5fPGsdqJT5Bnm/kMePJw6hkFoE7teYe3O1++fDJw4EBFAd4GP//8c1sRge3PQoUKqToPHTrUw8C3rRrCypIACZCAzQnYfTyxOX5W36EEOA+KXseTffTYO7Fkq543jtVOfHo828xnwJOHU8/oBd6pPc92S6dOndT2cWh/pkuXzlZEMmTIIFOmTJHZs2erev/9999SunRpW7WBlSUBEiCBeCFg5/EkXvqA7XAWAc6DotffZB899k4s2crnjWO1E58gzzbzGfDk4cQzOkFyYq+zzSRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTgEALcAu+QjmYzSYAESIAESIAESIAESIAESIAESIAESIAESMCJBCgAdWKvs80kQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk4BACtAHqkI5mM/0TuHLlihw8eFAuX76sPrdu3ZLMmTNLlixZ1Cd79uz+M4jyXXiDhzOnf/75R33Spk2r6o02oO44ZyABEiABEog8AbuPJ5EnxBJIwHoCnAdZz9RsjmRvlhTjWUHAqueNY7UVvWHvPPgM2Lv/Qq09BaChkmM62xNYt26djBgxQlasWCH79u2T27dvJ9qmnDlzSqVKlaRq1arSpk0byZ07d6Jxk+IGHDdNmDBBJk+eLFu3bhWcJxZSpkypHCSh/vXr15d69epJsmTJEovO6yRAAiRAAkESsPN4EmRTGZ0EYoIA50HR6wayjx57J5Zs5fPGsdqJT5Bnm/kMePJw5JmLgQQcRuC7775zVahQwaX9w4f0SZMmjatjx46uc+fOJTm5Y8eOuV555RVXpkyZQqo72lyqVCnXnDlzkrzuLJAESIAE4o2AnceTeOsLtscZBDgPil4/k3302DuxZCufN47VTnyCPNvMZ8CTh5PP6AXekWJv5zZ67Nix0r59ew8A6dOnlwIFCkjevHlFEyyq7eIpUqSQq1evClTjjx8/LgcOHFDf7glLly4t8+fPl7vvvtv9csSOz549KzVr1pQtW7YYZUCT86677pL8+fMLtFTTpUsnmoBWbt68qep/4cIFtbV///79cu3aNSNd8uTJZciQIdK1a1fjGg9IgARIgATME7DzeGK+lYxJArFDgPOg6PUF2UePvRNLtvJ5w7uSJuzxwGiXdz+PSvMkZAKcr4WMLj4TOln6y7Y7iwBWfjTBn9Kc1AY+V/fu3V3r1693acJCUyAOHTrk+vLLL13Fixc3tC8rVqxoKm24kS5duuSqUqWKUe6DDz7omjJliuvEiROmsr5+/bpr1apVrg4dOrhSpUpl5DN37lxT6RmJBEiABEjgXwJ2Hk/+bQWPSMA+BDgPil5fkX302DuxZCufN02hxXjnwQ4+O737ObHvI9FmztciQdXeeWJFhIEEHEFA05JUg2DGjBlda9asCbnNmlao65FHHjEGVPywRjqMGzfOKK958+YuzUlTyEVC6KkLQTUt1rDyCrkSTEgCJEACNiZg5/HExthZdQcT4Dwoep1P9tFj78SSrXzetN1xxvtTkSJFQn7nica7nxP7PhJt5nwtElTtnWfy+NRrZatIwJOApr2ptrHjqqbFqRwaecYwfwaP6jNnzpR8+fKpRDiOdPjll19UEWXKlFHOj7CFPdQAJ0iDBw9WybGd/u+//w41K6YjARIgAccRsPt44rgOY4PjggDnQdHrRrKPHnsnlmzV84ax+uTJkwbCvXv3hvzOE413P6PiPAiZAOdrIaOL64ShS1HiGgsbF28E9ME0derUyhN6uO3LkCGDPP744yqbXbt2hZtdwPSrV69WcZ566inRtDcDxg8UoXHjxkaUpKi/URgPSIAESMDmBOw+ntgcP6vvUAKcB0Wv48k+euydWLJVz5s+Vru/N4XzzpPU735O7Hur26w/A3Z9/7eaB/P7PwIUgPJJcAQBrAAh3HHHHQLD11YEOB9CgKOkSAe9/rrWabjlZc+e3RCkJkX9w60v05MACZBArBDQf4/tOp7ECkfWgwSCIaD/33EeFAw1a+KSvTUcmYs5AlY9b3o+GKt1IWi47zxJ+e5njhZj+SPg/gzY8f3fX9t4L3QCFICGzo4pbURAs/uianvs2DHZt2+fJTVftmyZyqd8+fKW5OcvE73+v/76q79opu9hRezGjRsqflLU33TFGJEESIAEYpyA/nts1/EkxvGyeiTgk4D+f8d5kE88Eb1I9hHFy8y9CFj1vOn5HD9+3LJ3nqR89/PCwtMQCOjPAOdrIcCL4yQUgMZx57Jp/xIoV66c6HYz//Of/4jm+f3fmyEcjR8/XjSv6iplhQoVQsghuCQPPPCASjBt2jRZvnx5cIm9Yp87d07eeOMNdRWrooUKFfKKwVMSIAESIIHECNh9PEmsXbxOArFMgPOg6PUO2UePvRNLtup5w1idLFkyA2G2bNnCeudJ6nc/o+I8CJkA52sho4vrhBSAxnX3snE6gQIFCsiLL76oTmfPni3PPPOMbNu2Tb9t+htbJz766CN56aWXRPN/Jnfeeac0atTIdPpQI/bq1Utt37h69ao0aNBARo0aJdevXw86u99//13q1Kkj+Ebo1KlT0HkwAQmQAAk4mYDdxxMn9x3bbl8CnAdFr+/IPnrsnViyVc/b2bNnBSa/9AClDzu9++n15nfoBDhfC51dPKdMBif28dxAto0EdAJHjx6VmjVryu7du/VLUqJECXUNKvL4kcyUKZOkS5dOUqZMKRA2QuCJrRMHDhyQjRs3ysqVK+X8+fMqPeIsXrxYatWqZeQXyQN4bu/Ro4dRBOqK9mB1C1qcuXLlUnWHp0JouKL+Fy5ckIMHD8qePXtkxYoVsnXrViM9BKHz5883NGONGzwgARIgARLwS8Du44nfxvEmCcQoAc6DotcxZB899k4s2ernzZ2hnd793OvN49AIcL4WGrd4TkUBaDz3LtuWgMCpU6ekYcOGxvb1BBFMXsA2iuHDh0vLli1NprAmGrZfdO7cOWzHS3Xr1pXJkycrp1DW1Iy5kAAJkICzCNh9PHFWb7G18UKA86Do9STZR4+9E0u26nmrXbu2XL58WdauXRsWxmi9+4VVaSZWBDhf44PgToACUHcaPHYMgQULFsigQYOURmcw9kCLFSsmzZo1ky5dukjOnDmjwuvkyZMybNgwGTdunMCos9mQJk0ageAT2/fr169vNhnjkQAJkAAJ+CFg5/HET7N4iwRilgDnQdHrGrKPHnsnlmzl88ax2olPkGeb+Qx48nDqGQWgTu15tlsRwBZ3bG3HB4Mstrdj2zjsa2bIkEEyZsyo7Hxiu0SpUqWkaNGiMUUOHu3XrFmjtvWj3qj/xYsXlb1Q1D1z5syC7f2of9myZVV7YqoBrAwJkAAJxAkBu48ncdINbIbDCHAeFL0OJ/vosXdiyVY9bxyrnfj0eLaZz4AnD6edUQDqtB5ne0mABEiABEiABEiABEiABEiABEiABEiABEjAQQToBd5Bnc2mkgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIDTCKR0WoPZXhJwJ4Ct7qlSpZJkyZK5Xw54fOPGDeUdHhGxzRyfaIRr164JbHsGG06fPm04UsqbN2+wyRmfBEiABEjAi4DdxxOv5vCUBGxBgPOg6HUT2UePvRNLtup541jtxKfHs818Bjx5OO2MGqBO63G2V+AJDp7Uy5Urp2xiwqvfo48+Ku+//74hFAyEafPmzZIvXz71+fjjjwNFt/T+9OnT5YknnpBcuXJJunTppHjx4vLCCy/I6tWrTZfTunVro/6mEzEiCZAACZCABwG7jycejeEJCdiEAOdB0esoso8eeyeWbPXzZtd3Pyf2vdVt5nzNaqI2zs/FQAIOIrBo0SJX7ty5Xdq/rM+P5uXdtWrVqoBENmzYYKTv169fwPhWRLh06ZJLE3Qa5Xq3IXny5K7XX3/d9c8//wQsTvMCb+QTMDIjkAAJkAAJJCBg5/EkQWN4gQRsQIDzoOh1EtlHj70TS7byeatUqZLxzuP97oTzWH73c2LfR6LNnK9Fgqp986QGqPbLx+AMAgcPHpSGDRvKsWPHjAYXKFBAMmXKZJzv3r1bHnroIaUNalyMkYO33npLJkyYYNQGXuoLFSpkbN+/ffu2QBsVq5t///23EY8HJEACJEAC1hKw+3hiLQ3mRgJJQ4DzoKTh7KsUsvdFhdciRcCq5w1jtaa04lFNO737eVScJyER4HwtJGxxnYgC0LjuXjbOnYCmHSmXL19Wl5577jk5ceKE7Nu3T86fPy/r1q2T2rVrq3sQJPbu3Vv69Onjnjyqx7///rt8/vnnqg7Y+j5z5ky5cOGC/PXXX3L27FkZNGiQZMmSRd3ftWuX1KpVi0LQqPYYCycBEohnAnYeT+K5X9i2+CXAeVD0+pbso8feiSVb+bxhrL5165aB0U7vfkaleRAWAc7XwsIXn4ntq7zKmpOAeQJHjhwxtj80adIk0YSfffaZC1vJtf929Rk4cKDPuEm9Bb5Dhw6qPilTpnRpEwOfdUIby5Yta9Rd0w51adquPuNyC7xPLLxIAiRAAgEJ2H08CdhARiCBGCTAeVD0OoXso8feiSVb9by5j9X6e50vnrH67uerrrwWHAH3Z8CO7//BtZaxzRKgBmh8yrXZKi8C27dvN65AWzKx8Oqrr8rUqVMlderUKkrPnj1lypQpiUVPsut6/Vu2bCmakNNnuXfddZesWLFCatasqe5jG/yTTz5paL36TMSLJEACJEACQRHQf4+RyI7jSVCNZWQSiBEC+v8d50FJ3yFkn/TMnVyiVc+bnk8glrH67heo3rwfmID7M8D5WmBeTolBAahTetrh7dy5c6ciAI/vsJvpLzRt2lQJPTVNUNFWEgQe05ctW+YvScTv6fV/4IEH/JaVOXNmmT9/vlSpUkXF27hxozRr1sxj+4ffDHiTBEiABEjALwH999iu44nfxvEmCcQoAf3/jvOgpO8gsk965k4u0arnTc8nVapUAXHG4rtfwEozQkAC+jPA+VpAVI6KQAGoo7rbuY29fv26anz69OlNQWjUqJEMHTpUxUVanOs/oqYysDhSMPVPly6dzJo1S4oWLapqMW/ePHnttdcsrhGzIwESIAFnEgjm9xiEYm08cWavsdV2JxDM/x3nQdb2Ntlby5O5+Sdg1fOm55MiRQr/Bf7/uxyrTWGyVST9GbDr+7+tYNuoshSA2qizWNXQCRQrVkwlPnz4sHJ6ZCanLl26CAwnI8DRUL169eTkyZNmkloeR6//tm3bTOWdI0cOWbBggeTMmVPFHzFihCHQNZUBI5EACZAACfgkoP8e23U88dkoXiSBGCeg/99xHpT0HUX2Sc/cySVa9bzp+Vy9etU0zlh69zNdaUZMlID+DHC+ligiR96gANSR3e68Rus/gGi5ZuzaNIDBgwdL48aNVXx4XK9bt65pAarpQkxE1Os/efJkOXPmjIkUIkWKFFGaoNCEQOjevbtMmDDBVFpGIgESIAES8E1A/z3GXTuOJ75bxaskENsE9P87zoOSvp/IPumZO7lEq563rVu3hoQxVt79Qqo8E3kQ0J8lXOR8zQONo08oAHV09zun8dgOXrFiRdXg999/X6ZNm2aq8bADOmnSJMOm5m+//aaO3Y0qm8oozEgw+o9w4sQJwfHx48dN5Vi5cmXBy4Juz7RNmzby7rvvyu3bt02lZyQSIAESIAFPAnYfTzxbwzMSsAcBzoOi109kHz32TizZqucNjmzvvvvuoBHGyrtf0BVnggQEOF9LgIQXQMCsu3jGIwG7E1i5cqULj7z+qV69uqtHjx4ubYUwYNO0re+uMmXKGGm1wdE47tevX8D0VkR49NFHjTI1Y84uzTmTS1vNMpX1yJEjXcmSJTPSu9ffVAaMRAIkQAIkYBCw+3hiNIQHJGAjApwHRa+zyD567J1YspXPm/7eh2+7vfs5se+tbjPna1YTtX9+FIDavw/ZgiAIfPDBBy7NGLYhCMRg+N1335nK4fTp0y5Ni9QjLdL37dvXVPpwI+3du9dVunRpj/JLlixpOtvx48e7UqZM6ZEe9WcgARIgARIInoCdx5PgW8sUJBB9ApwHRa8PyD567J1YcqSeN7z32Ondz4l9H4k2c74WCar2zZNb4LVfQQbnEMB2iGXLlokmODQanSdPHuPY38Edd9whq1atkkGDBkmGDBn8RY3IvcKFC8u6deukc+fORvlm644KaRqjsmnTJqlRo0ZE6sdMSYAESMBJBOw8njipn9jW+CHAeVD0+pLso8feiSVH+nkz+/4U7Xc/J/Z9JNrM+VokqNo3z2SQ3dq3+qw5CYRO4OjRo7J8+XKpU6eOYIALJhw6dEjefvttWb16tbz44ovSu3fvYJKHHffmzZuyYcMGuXDhgqp/sBnCGRI8w8Ob6vnz54NNzvgkQAIkQAJuBOw8nrg1g4ckYBsCnAdFr6vIPnrsnViylc/bjh07bPvu58S+j0SbOV+LBFV75UkBqL36i7UlARIgARIgARIgARIgARIgARIgARIgARIgARIIggC3wAcBi1Hjj8C5c+eUV/R9+/bFX+PYIhIgARIggSQjcOPGDWViBWZWrl+/HlS5mi1qNRb9+OOPQaVjZBIgARIgARIggcAE/vjjj8CRGIMESCDuCVADNO67mA30R+D48eOSO3du0TykS82aNZWdzCZNmhg2Nv2l5T0SIAESIAES0Ano4wnOscUKY4vZkDlzZrl48aK0b99eRo8ebTYZ45EACZBATBG4dOmS7N69W3bt2iWHDx+WvHnzStGiRaVIkSKSJUuWmKorKxP/BK5evSrffvutjBw5Un799Vd4fo3/RrOFJEACfgmk9HuXN0nAIQQwIEJrBx84GYIQFE6DIBSFcNQOYePGjTJ//nzRvNXLtWvX5Pbt26aqjUkBAwmQAAmQQHQIXLlyRfBBwO83AwmQQGgEOA8KjZsVqTZv3ix9+vSRmTNnJppdhQoVZPDgwWpunWgk3iABCwhACD9q1CgZP368nDlzJqgcsSsQzzGE+Lly5ZKqVatKpUqVJFOmTEHlw8j2IIBFG+zC2blzp1y+fFlgc9aMoLx+/fqCD4P9CFAAar8+Y40tJJAzZ07BlkM4BZozZ47atogfv6+//lp9ChYsqJwcvfDCCwKPhLEYMFC3aNFC1qxZE1L1KAANCRsTkQAJOJjAjBkz5MiRIx4EoMGpB7x0mXlZwmIVFq4w4UYoWbKkngW/SYAETBLgPMgkqAhEg6CgY8eOMnbs2IBCAzjvrFWrljRs2FDFD9YBaQSqzyzjiADG0VmzZiknr0uWLPH5POI5PXnypBLCQ6iZIkUKgwCeZXgLHzZsWAIzNilTppQPP/xQ3njjDSM+D+xPYNCgQdK/f3/lVDjY1mCXDwWgwVKLjfjcAh8b/cBaxAABrBBOmzZNCUO9hYnQAq1Ro4bSCm3atKlkzJgxBmosaoCuXr26rF+/PuT6mFnlCjlzJiQBEiCBOCQAbYFmzZpZ3jIsxD355JOW58sMSSBeCcDeLudB0evdgQMHKqGRXoMCBQqo+XK+fPkkT548cvbsWdm/f79s3bpV1q5dq0dTggMIq+yyy8qoOA9ijgBMLYwZM0Z9vBcmUdm0adMqUwx//fWXx+44COC7desmb7/9tmpT9+7dZciQIX7bh3H/m2++8RCc+k3AmzFLAApQWIwJNfTt21f69esXanKmiyIBCkCjCJ9Fxy4BbJ2AVuikSZMEmgXuIUOGDNKoUSMlDH344YejOnn75JNPpGvXrqp6WJ3EMV4EMKinSpXKvdqJHleuXDnRe7xBAiRAAiTgm0CdOnVk8eLFvm+GcBWaJx988EEIKZmEBJxLgPOg6PU9BJrVqlWTW7duSY4cOQTaVK1atRLMR32F5cuXC4RM0ARF+Oijj9S5r7i8RgL+CEB5A+PviBEjZPbs2eoZ9I4Pkwtt27aV7du3y2effeZ92zjv1auXPP/881KqVClDaxTC+yeeeEL++ecfWblypRw6dMiID2WZSCyAGgXwIOIEYCYOu0B18wj333+/dOrUSQoVKqT8gJhZmIF9Y3wY7EeAAlD79RlrnIQEMMBi4Js4caLaVnHixAmP0rHSje3xbdq0UT+aHjeT4OTZZ59Vxr0x2YTm0OOPP54EpbIIEiABEiCBAwcOyNKlSw0QFy5ckC5duqhzbKEL5PADE2xopmBHAba+w+QKAwmQQHAEOA8KjpeVsbFoAw1QLLj/9NNP8tBDDwXM/ty5c8qeom5f8dixYwHTMAIJ6ARgJxsmZmC+a+/evfplj2/4cujQoYOUKVNGORWEiQYEjLlly5aVRx55RDnoWrhwodJQxjb4KlWqyKpVq1S8L774QgnDdCEYhGWvvPKKsimKCBUrVvTQZlaJ+MdWBCAUL1GihKoz3p1h1ih9+vS2agMrGzoBCkBDZ8eUDiOAARBb43/44QfB4IhVQT1gkKxdu7a8+uqr0qBBgyTTCi1WrJjs2bNHGehevXq1Xh1+kwAJkAAJJDGBcLzAJ3FVWRwJxA0BzoOi15WY9/7888/y3HPPqR1TZmsCwVPdunVVdOyygjIBAwn4I/DLL78obU+Yn4HtbPcAASZMLug79mB2IWvWrCoKNPSwRR4BWqB4T9MDnA+WK1dOOTvSrzVv3lymTJmin3p8Q6MUjtYQIHyNVd8QHpXmiU8CkydPVlq/uLlo0SJ57LHHfMbjxfgkkDw+m8VWkYC1BDBIQsMSxrO/+uorD+EnSoKmKAxuw5YIBkhoBiVF0B1nYNs7AwmQAAmQQPQIwOkRND/xyZw5c/QqwpJJwEEEOA+KXmf/+eefqnBozwUTsG1edz6zadOmYJIyroMIwLEgND2htYlnBmbJ3IWfxYsXVxrIBw8e9LBDqyPatm2bIfyElp+78BNx0qVLp97r9Pj47tGjh/upxzEE/XpAmQz2JaCPG1BgwrPF4CwCvo20OIsBW0sCPgnAphGEmhhwofV56dIlj3iws9myZUtlyB1bfxAPW3l+++03tT0CNmkefPBBjzRWn2DSiRVPbAlhIAESIAESiB4BbJ/St8CjFlg4W7dunfI2612rLVu2qEU1LJrdd9993rd5TgIkYJIA50EmQUUgGn67YBrK2zxUoKIwn8YcGwE29xhIwJ3A5s2blbYn3qu8372g2QktTZgew1Z0f0HXCEWcRx991GdUOLjNnj278R4FO6CJhfLlyxu3dK1S4wIPbEVAX7SBAhPsgHL7u626L+zKUgM0bITMIN4IQIAJr4DYNoEVQ9j/1AdgrFjDKPa3334r8DSI7RSIA0Pu0Pp86623FA5shYSh90iHqlWrqiJWrFgh+mpWpMtk/iRAAiRAAokTwG8xfv9z5cqlHOb5ioltdBgvoMGCF7NgBQi+8uQ1EnAiAc6DotfruhPNuXPnGgJNM7WB0gAC7CSXLl3aTBLGcRABvFdB81N/94KN2aeeekq9ex09elQJR/0JP3Xbne7KIXfddVeiBPV70AhNnTp1ovHchWS+vM0nmpA3Yo7APffcowTfqBiUnRicRYACUGf1N1ubCIH9+/fLgAEDlEHkBx54QD7++GOlzalHxw8lvPMi3rx586Rp06aSJk0a/bb6xgDdv39/ZY8TF2CvBk4xIhmwCgr7V/BaDyEsAwmQAAmQQPQIwDZ0vXr1ZMiQIYLte9AsOHXqVIIK/f3338Y1TL4x7mC7HgMJkEBwBDgPCo6XlbHhNRne37Gg89///tdU1jt27DC2K7dr106SJ+erqClwDowEzUwommB33axZs9S7FxwHmg3uvhrchZfe6SH4RPAXB/d1sw04vnz5Mr4YbEygd+/eqvZYjPY1T7Nx01j1AAQ46gQAxNvxTQAvqPBaiS04b7/9tsArnB5gz+2ll14SOBfauXOnmrDdfffd+u1Ev/VVSWgBRdpGDCaeMN6cJ08epU309NNPKy+GmCxArZ+BBEiABEgg6QgMHTpUFi9erAqEmZTXX39deUj2rsFrr72mzKbAiQjCoUOHlNda73g8JwES8E+A8yD/fCJ5F3Pn6dOnq984LPrUqVMnUe/YEEbBuUzNmjWVXcYWLVpw4T6SnRMHeUODEzvyGjdurGx9Ymt8qMGfZqcu2NQ1R0Mtg+nsRQAmiyD8hDYvzHnAwTEWaGC+iCG+CdAGaHz3L1sXgAAmZCtXrjRiYfCrVauWsi2DATfQaqCR0O3g3Llz6gwaovfee6/bHesPx48fr1T34f0QP+CwO4oPAsrPmDFjwEK56hUQESOQAAmQQEACWFAbPHiwileyZEmZP3++8kzrKyGENnCoADvS0ELA7gEstsG8SrNmzXwl4TUSIAEfBDgP8gHF4ktlypQxZaYDiz/4ZMuWTQoWLChQGoCmHOaZ8JrtrpEH4RYW7eFglIEE3AlgPMQW+PXr18uNGzdk2bJl6tOzZ08lqHrxxRelVatW6vlyT+fv2IxSiJk4/srgPfsQOH/+vHTu3FlVGBrA+D3Sz3ERtmZ1wXhirXrzzTcFHwb7EaAA1H59xhpHgAAmahhQ8QnXIDt+QKH1U6BAAUmZMrL/YnCwMXnyZJ9E4CnR3Vuiz0i8SAIkQAIkYAkBaKdgUo0wZsyYRIWf7oVh0e3dd9+VmTNnytatW9WCFgWg7oR4TAL+CXAe5J+PFXdPnjwpsG1vNpw9e1bw8efhHbuXGEjAF4G2bdsKPhgTx40bp3wx6Moa0NDr1auX2rX32GOPSevWreWZZ57xyIaCTA8cPPFB4OrVq4m+PyO6rszkI6lxiZqiBgrbHURWOmM7HKyw0whAQxL21x5++GGxautDhQoVkgwjVqjgrImBBEiABEggugT27NmjKoDfZd3DqJkaQcsAjpDwsuduhsVMWsYhAacT4Dwo8k9Azpw5I18ISyABLwLwyA6zMgMHDlQ2QCEMXbhwoXK4dfv2bXWMczjTKly4sFdqnpJA4gRgezjc9+fMmTMnXgDvxDQBCkBjuntYuUgTyJAhg+g22CJdViTyh2MmfBhIgARIgASiSwBb4BFCceqBFziESDvOU4XwDwnEEQHOgyLfmeHYXox87VhCvBOAk1mYJcPn8OHD8vXXXwtMX+iLjth54a5t/P777ysNUncuUHbRtUjdr+MYGs4I2DX31VdfqWNff/bt2+frMq/ZkAAWdSLtp8OGWBxT5WSamjg9pTimu9lQqwnA2RAGVKxSMpAACZAACTiXALzUNmjQQAGAl3eYVjEbkA7pn3/+ebXdz2w6xiMBEiABEiABJxJYvny52iIPR1zu9mV1FvCPECkhV79+/aRv3756UfwmARKwEQFqgNqos1jVyBLAquL333+vDL1fv35dsL3CPdy6dUttu4B3d9gGgdfeX375Rd555x0KQN1B8ZgESIAEHEigfPnySvsTY8eHH36onDiYwbBt2zb56aefVFQ4G2EgARIgARIgARLwT6BmzZqCz2effSZTp05VwtC1a9caiSIl/DQK4AEJkIAtCVAAastuY6WtJvDqq6/K6NGjlbdBq/NmfiRAAiRAAvFPANomcMoAm2SjRo2SIkWKSNeuXQXb9xILsPmJbX3QXkmdOrU8+eSTiUXldRIgAYsJYLECHqbtbArJYiRhZwcFAmjA7969W3l+f+ihhwSLQwhY7ClRokTYZTADEnAnAFuMHTp0UB88Y7rjpBMnTrhHU8fNmzdPcC2UC9z5Fwo1piGB2CDALfCx0Q+sRRQJwJYMvAgGG+C4omLFitKnTx+pW7dusMktiT937lxZv359WHlhGwcDCZAACZBA+AQ2bNgg1atXV7bEkBu2wePFDMLQ/PnzS/r06ZUNM+wggBdk7DrQLRFBa/S///1v+JVgDiTgQAIQZs6bN09+//13uXz5smC3jv6/BRw4xjXs5oEH4NOnT6v5E3b/uMdzIDpLmnzkyBH1+zVlyhTFWM8U2nlQMoAX+dy5cyuHbwMGDJAHH3xQj8JvEjBFQP8/NeO09saNGzJnzhwlDJ0/f77xTOp54HcA73EMziSAMeKjjz4Kq/G1atUSfBjsR4ACUPv1GWtsIQFMmGEI+cyZMyrXZs2aKWFmrly5pGnTpkor591335XSpUurOOvWrVP22a5cuaImcYsXL7awNsFn9fLLL5veZplY7vpkILH7vE4CJEACJGCeAJwovPTSS8YLl5mU9erVk9mzZ4fkQMlM/oxDAvFMAHOzVq1aya5du0JqJudBIWEzEg0bNkyZg4JQwTvoAlBsTa5cubK6jYUgLP5ES3nAu448tweBb7/9Vt588031v44xtkCBAqYqfvToUeU4CZqh+I3A/zu0krFr48UXX1S7MMwIVU0Vxki2IKAvyIRTWdqBDYdedNMmj27xLJ0EoksA9mF04WenTp1k2rRp0qZNG8HLKLR4EDCha9iwobRr105ta8RKYsaMGZXNNqx0M5AACZAACZCATgA7CiCQwQ6BQAEvcBh3oM0fivf4QPnzPgnEOwF4bn7hhRdCEn5isRuOxxhCJzBz5kx5/fXX1VwZuZQsWVLNozNlyuSRKUx8gDcCTH48/fTTapu8RySekIAfAiNHjpT9+/cLvLyvXLnST0zPW3fddZf07NnT+I1A2j/++ENpiOI6hZ+evHhGAvFOgDZA472H2T6/BNy1BTAIuodq1aqpLYpLlixxv6wMbkPzs2rVqmrS98QTT0jWrFk94iTVCYS2gVbQseXr/PnzyiYTtoNge1iePHnU5MHs6mlStYflkAAJkEA8ELj//vsFGk+wg4ffXYw10DiAsKZw4cJStGhR9XnkkUckbdq08dBktoEEokIAQpGdO3eqsiHo6NKli9xzzz2CxeoxY8bIvffeK4MHD5YLFy7IgQMHBB6jN27cqOLjWF/sjkrlbV7osWPHlLY7mnHnnXeqHVJ16tRRrcI8+eLFi0YLoXEH26DQ4Bs+fLiyuQ9BFsxQMZCAGQJ//vmniobFwkDvPv7y0/NBHNrd9kcqfu/hvf3HH3/020BoCmOxBuZSsKgNrXXsAO3Vq5e89957XLT2Sy+2b1IAGtv9w9pFmMCePXtUCdiO4y0MLF68uLqHgdLbVgy28WBb/ObNm5X2TseOHSNcU9/Zly1bVvAxG/r27asmq5hwQnC7atUqZQLAbHrGIwESIAESME+gWLFiaqHMfArGJAESCIYAFnUR0qRJI7/++qsxl4O9SQhA//rrL4EjHjhKQejWrZu0aNFCZsyYIVhE3rRpk19HZSoR//gkMHbsWDl16pSkTJlSsD0ZHrn9hXTp0imP3RAoYAfV5MmTlTDUW1vUXx6851wCcKAFx0YwX3bp0iXJkSNHSDDcHXFBQYTBeQQwXjRo0CCohnfu3Fnq168vH3zwgbJn/J///Ceo9IwcOwS4BT52+oI1iQIBCD4RsmXLlqB0aBAgwFi+u6aoHlGf6G3ZskW/FPPfmKTCPh1+wNGm9u3bx3ydWUESIAESIAESIAES8EVAn59BqOm+kA0nO9h2DWcoK1asMJLiGoR1mAdhgRvaoQyhEdCFz88880xA4ad7CdCgQoByAQTUDCRghgBMXegBtmVDDdD6LlSokEoOEw7QDGcggUAEoPy0cOFCFa1r165q8SxQGt6PTQIUgMZmv7BWSUTgvvvuUyVhRdHbCD40d3S7MLAV4x2gAYpgJwGo3oZGjRqpw59//lmtpOrX+U0CJEACJBAeAdiNhmAAHqmhIYUtunBw9NtvvylzJOHlztQkQALuBPSdPO5aXbiPBV+YmkDwnsPB+3Pbtm3VvU8//VR980/wBHQBqBl7x+65o6/QPwgUgLqT4bE/AvDRMGTIEKXtPXToULWTDeMsFkGw0GE24P9/6dKlgkWSc+fOqR19cOS1Zs0atd3ZbD6M5zwCDzzwgOTPn1/JDLxN5DmPhn1bzC3w9u071twCAroAVNcQ0LU6kTW0Q2Er8/Dhw7JhwwZp3ry5R4nYPo6gO1HyuBnjJ7Vq1VI1hE0sbOMvV65cjNeY1SMBEiCB2CUAW8uw9YltnfiG3ShfIVWqVMp2GRyvwAkI7X/6osRrJGCeQKCdPNu2bVPzHO8ca9SooRa5YccS27hD3U7rna+TzmHTGCHY3zEsEkH7EyFDhgzqm39IIBCBSZMmCf6fIXCHI6MFCxaoD9JBqAknW7riSmJ5HTp0SNkDhv1ZOOyC/WC8C8GRlx6yZMminN3q576+YUoDHwbnEcA79IQJE5QZue7duzsPQBy0mALQOOhENiF0AhjkChYsKPv27ROos2MlEUb09QCj7RCAwkvv22+/bWyVh/0ZxEWAQwu7BX3LGOoNj4oUgNqtB1lfEiCBWCGwdetW5YUatgQDBSy2QRsUH4wdeKGrUqVKoGS8TwIkkAgBLGRjDgcnY95BN2XkrQGKeBB4Yr535MgRtZPn4Ycf9k7O8wAEYIMeAiVdEzRAdOM2fiv1XVelSpUyrvOABPwRWL16tXz55Zc+o0Cgjv9lMwGObBLLB+lhFzSQbVB3B19mymSc+CGgv0Pj/ZnBngSS27ParDUJWEfgk08+UZlhAgfHRzByrIfWrVurQ0zwYC8KHuOWLVsmjRs3VhoDuKlvhVcRbfLH3fMdhZ826TRWkwRIIOYIjB49WipUqJDAFhSEKxAOwCPyo48+qhba4LnWPWDrJ7TQoInCQAIkEBoBfSfPTz/9lCADmDJCwDZ5b4EGPJLrAhM77uRJ0NgoXNCdcELzfffu3aZqAEEVFAoQYH8fO60YSMAMAWgLY2wN54NyoCUaTh5Iq2uem6k348QPgaNHjyqP8GgR359t3K/aChwDCTiegGZY26X9G6vP3XffbfDQJmoubQJt3NPj6N+aV1GXpnVgxI/1A22bl+vFF1802qMN4rFeZdaPBEiABGKSwPz5812aUNP4PcV48NZbb7nWr1/v0nYJJKiztl3UtX37dhVH2zJqpMN4Mn78+ATxeYEESCAwAc2xo/G/9MUXX3gk0MwXGfc++ugjj3ua7U/jnmaf1+MeT8wR0DQ5XZpZD8VRE4a6tO3ERsK8efOq65qzGuOattXY9dJLLxncO3bsaNzjAQmQAAnEMgHNYZYLMgJdBjB8+PBYri7r5odAMtzTOpKBBBxNAPba4KwCXgWxJcrdYyi0BOrWrZvAE3y6dOlk3LhxCWyDJiXIPn36yDfffBOwSGy7xJYP2Lly/5fXXgiE9ksC4mMEEiABEvAgAO1NGMOHAwWEBg0aiCZ8Ma3NhK1TPXr0kO+++06lx3iydu1aW+4oUA3gHxKIEgFoFMKMhLbwoGpQqVIlGTRokDz00EPqvEyZMmqLO5zu9OvXTx555BFlE/S///2v+v+F/cqTJ08GtPkXpebFfLEDBgwwNDrxO9aqVSupVq2amluCK5jDZiOcwOE3Ute6hSMRmA/JlClTzLeRFSQBEogvAngfhlf3QAEm765fv678feA9Wg/58uVTpj/uuOMO/RK/bUSAAlAbdRarGnkCEA5iG49uN0ov8fTp0zJx4kS1/R0/mrAN+vLLL4u311E9flJ9ow7wMBxKeOqpp0RbzQpoMDyUvJmGBEiABOKZQPv27dWiGdqI31KYFfHe4m6m/c2aNTOEoDCzAtugDCRAAsER0DSr1bxMd8ozZswY0TQNVSawswuhXGKhZ8+e8sEHHyR2m9cDEICAAL+Bul38ANHVbWxlnjVrltSuXdtMdMYhARIgAUsJwGZ07ty5Q8ozderU8vPPP0vVqlVDSs9E0SdAAWj0+4A1IIGQCcBxkz9D3u4Zw/uwtkVT2SzRth3J448/HtILu3uePCYBEiABpxGA1qe2DUp5eocWE7zShurJGHnBjt6BAweUF1tohiJvBhIggeAIaNvdZejQoTJ9+nTlGdpduNa/f3955513EmQILVEsOmBuxBAegalTp8qbb74pBw8e9JtR06ZNZciQIQINKgYSCJcAlFLgER62GaGskjVrViXYgm3uQoUKmc4egnxoke/YsUM5VINmOQRkBQoUkOrVqwuEXgzxQ+DEiRNSpEgRUw3C4jZ2CmCHaKNGjQQL4O4Ok01lwkgxRYAC0JjqDlaGBEiABEiABEgglgmMGjVKOnXqpKqIF/lu3bqFVd3vv/9emjRpovKAJho00hhIgARCI4At1hkzZkwg1FyyZIkSdq5Zs0Y0+5QCr+/YRROK5nZoNYv/VDAnBYEydlLpHywOYVcVPthyChMFDCQQLoFFixbJ//73P/n1118FwktfAU5qXn31VWnbtm2iu92wCPnee+8JNMUhFPMVsEACMzeIB4EoAwmQgL0JUABq7/5j7UmABEiABEiABJKQADTvP/nkE1UitE+yZ88eVunuW7FatmwpkydPDis/JiYBEiABEiCBeCQAzUzNmWtQ4yQ0OGfMmCE5c+b0QALNUWj0YRw3E+D5XXOeJu3atTMTnXFIgARilEDKGK0Xq0UClhI4duyY7Nmzx9I89cywBRIfBhIgARIggfgnsG/fPtVIGL8PV/iJjHLlyqW2U2ELH7bAM5AACZBALBE4c+aM0rKDKaUsWbLEUtVYF4cR6NChg4fws2TJksoWI97DsC0ZwkyYlIGDLd2h7apVq5QG59KlS9VWZiDbsmWLsl17/vx5RTBNmjTy5JNPSuHChdU7HZymwZwD8lq4cKHKFxrOKB9jf8OGDR1Gns0lgfghQAFo/PQlW+KHAJz96FsW/UQL6RY8XPbt2zektExEAiRAAiRgLwIQVCJAcGlVwPZQ5AttUAYSIAESiCUCEDJBkeCBBx4Q2FplIIFoEID5inHjxqmiIfD8+OOPlSAyWbJkPquzbt066d69u7IRiq3yH330kfTu3VvF7dGjh+jCT9h0xHtcYva3L1++LF988YVKC0drbdq0kUcffVQyZcrks1xeJAESiG0CFIDGdv+wdiSgCAwcOFAuXrwYEg1MDDBIY8WyYMGCypg3jDkzkAAJkAAJBE8AThYQ/vrrL7l586ZAUyTcoO9QCNUrabjlMz0JxDoBzoNiu4cgJJo4caKqJASmNWrUiO0Ks3a2I4Dt5wh4p5k7d66UKlXKbxsqVqwo8+bNkypVqiiN0OHDhytHXdhpAa1OBAgzR48e7Tcf2LGFwPTOO++U1q1bK8Hp2LFj5fXXX/ebjjejTwCOraAEFWqA86ts2bKp3T6wX2zWcVKo5TFd0hAIf9aeNPVkKSRgKYEcOXKoATFFihRh53vfffeFnUegDIYNG6ZW3wPFM3Mfwk8M4B9++CG3MpkBxjgkQAIk4EZAF1JCEwQeYwO9hLkl9XkIxwuHDx9W94LxWuszM14kgTglwHlQbHcsnMnAqRRCx44dKQCN7e6yZe02b96s6o3nzOy4C4do+O2AxibG2j///FMtXiIjvAPq9rzNAIHtUQg+saX+559/pgDUDLQox/ntt9+kf//+ltUC7/x4ZurUqWNZnswo6QlQAJr0zFliFAikS5fOo1TYiNm4caM8++yz0rx5c8EqoVPC1atXZeTIkWoAx3YSrGwykAAJkAAJmCMAbZIJEyaoyMuWLTP9IpZY7niZ0kNSLKjpZfGbBJxKgPMgp/Y8221nAjDDgFC1atWgmlG5cmUl7IQDpb///ttQKCldunTQ29irVaum3p+QD4PzCGDR+/HHH5evvvpKOeNyHoH4aDEFoPHRj2xFAAIvvPCCQHV96tSp6oMfsCNHjij7MbAhA5V2CEJbtGgh2LoTawFehy9duhRStVwul0BTCbZusBIGwS8CDIT37NlTPvvss5DyZSISIAEScCKBevXqGc3u06ePNGnSRHStUOOGyQNoTenb6LCVHmMVAwmQQEICnAclZMIrJOAkAmXKlFGal3h/CyZgwQPCTwS87+ne4HV73sHkBUdIej7BpGPc6BC4//775Z133gm5cDw3MO9x6NAhgRMtzNkQoIX8yCOPSN68eUPOmwmjRyCZJpMEiQsAABC3SURBVBxxRa94lkwC0SHw+++/K0HotGnTRPfoq9cEK4IQhEIgGo/bEaG6D6PgsF2XOXNm5Xgjffr0evP5TQIkQAIkEIAAhJ7ff/+9itWoUSPjOECyBLcxzmAcQmjatKl8++23CeLwAgmQgLUEOA8Kjie8awdyggQzHrowAFvgsdOIgQSsJAAHRu+//74SPC1evFgSc37kXSbGVez4wzvPmTNn5Pr168oE2I0bN2T58uXy0EMPeSfxeX779m0pW7asUiCBQyW8SzE4h8CBAweU0y0oEyG89957YQlXnUMu9lqaPPaqxBqRQOQJlCtXTtnAxBYGeAbs0qWLYIKHsGXLFnnrrbekcOHCyk4oJsr6tovI1yzyJaCtugbThQsXlFZo5EtlCSRAAiQQPwQGDBggadKkUQ2aMWOGPPXUU6I7MjLTSggLsNCmCz+xCAVtUgYSIIHIE+A8KPKMWQIJWE2gZcuWSnC5ZMkSefvtt01lf/DgQXn11VdV3JdeeklthYdZNPhCQIBgFIItMwFlYvccnOJgwZLBWQTy58+vbMDqrYYJJAZ7EqAA1J79xlpbSAC2YWAgG+rtMGqNlevs2bOrEmAjE9uu7r77brXiCOPXZ8+etbD06GQFY+B60J1v6Of8JgESIAES8E/gnnvukXHjxhmR5syZo2yB4gUJjhouXrxo3NMPsJVq7969avHt3nvvVbsQcA9aLLApatapg54fv0mABEInwHlQ6OyYkgSiQaB48eIye/ZsgQDzgw8+kNq1a8vKlSt9VuXKlSvq3Q4+Hk6ePKne4QYOHGjEHTFihDRo0EApuECr83//+59AKcRX2LRpkzzzzDNq7IbjJGiUFihQwFdUXotzAlCg0mUEfH+2b2fTBqh9+441t5hA8uTJpVatWuozfPhw+emnn2TKlCny448/qkERtj/w6dy5szKADO2dp59+2pZOhGBrTg/wkMhAAiRAAiQQHAFoo8A2FLbB4cUJtpahGYoPQo4cOdROAnxjtwGEn9h65x7wW4ytdI0bN3a/zGMSIIEIE+A8KMKAmT0JWExg9OjRsmjRIrVj76+//lJKK1BcyZIlixQsWFCgoQcbndDohOYnbH/qYd26dYatbmxlx9itWwGEXce+ffuqLc1QeIFwE1qeEHAhL3iPdw8wXZNYwO5BlMUQnwSwYA0hOALfn+3bx/9KQezbBtacBCwngIlx3bp11QcvtfPmzVMrflh5xKCJb3ywbfGLL76wnSc4aCvpASuqDCRAAiRAAsETaN++vdr+/uabb8rEiRM9Mjh16pTgk1iAvWl4EoWRfgYSIIGkJcB5UNLyZmkkEC4BaGLqtrfd84KT1z/++EN93K+7H/valeF+H8fwjbB//3718b6nn2Mnx+nTp/XTBN8QnDLEL4H169cbAnG+P9u3nykAtW/fseZJRAB23ho2bKg+EH5ilRBb5jEIYqURmj12CdgGAgPiEOgiQDMJq6YMJEACJEACoRGAB3hsYe/QoYPalrdt2zalNQItE++QOnVqtbAG7VGMKzhnIAESSDoCnAclHWuWRAJWEsiaNavhaCucfPH+5q3VibyxtT7cgPkAQ3wSmD9/vmFPFi188MEH47OhDmgVBaAO6GQ2MTwCeImFl8Dp06cLnF3Y0SFSp06dVBuwZcR9C+ann34q2PrPQAIkQAIkEB6B6tWry9y5c1Um2HoHp0g7d+5UYwac7MFDMmx/YrseAwmQQNIS4DwoaXmzNBKwmgDsfuLDQAJJRQCOkt944w01n8PimR6wgwc+QxjsSYACUHv2G2sdYQIQeq5YsUJte4fQ8/jx4x4lwgZIjRo1lPfAZs2aedyLxRNs6dixY4dRNQg94RURdkwZSIAESIAErCWQNm1a5dSIjo2s5crcSCBUApwHhUru33RYRE/M/iGczugBNvQTi6fH0b+nTp2qH/KbBCJKANvk4fAo3IDdf0eOHJGiRYuGmxXTxzgBvC9DCOoesHMSu364g8edir2OKQC1V3+xthEkAKEnvAnCux9szPgSesJj/LPPPitNmzaVPHnyRLA21mZdpEgRZa8UBsLxQv7OO+9YMgmwtpbMjQRIgARIgARIgASsJ8B5UPhMz549K9OmTQuYERy+4WMmUABqhhLjhEoAuzHwXjdy5EglyNIdH4WSH8zbIB8Iv7p27Sr9+vULJRumsREBjBtQeoJpA7xD4/0fCkQwj8dgXwLJtB8Cl32rz5qTQHgEdKHnd999p4Sevra3V6hQwRB6wjOgHQO2vXOlyo49xzqTAAmQAAmQAAmES4DzoNAJwoSHr/lx6Dn+m5Kvof+y4JF1BHbv3i2jRo2S8ePHy5kzZ4yMg33e8LuBnYAjRoxQOwP1jOAPggJQnUZ8f3PsiL/+pQZo/PUpWxSAAISeq1atEgg9YdfT16QOWySg6Ynt7Vj9sXug8NPuPcj6kwAJkAAJkAAJhEqA86BQyYl88skn4r7FPfScmJIEIkcAXtxnzZqlhJVLliyRYIWd7jXbt2+fjB49Wr788ssEDpPc4/E4/glw7Ii/PqYANP76lC3yQQBCz9WrVxvb248ePZogVokSJZTQE4JPOKpgIAESIAESIAESIAESIAEnE7CDrXsn94/T23748GEZM2aM+sA2p3eAd/fGjRtL27ZtvW95nONdcd68eUqAumDBAsG5dyhZsqTK54UXXvC+xXMSIAGbEKAA1CYdxWqGR2Ds2LE+vbUVK1bMEHrSWUV4jJmaBEiABEiABEiABEiABEiABCJJANqdixcvVsLK2bNny61btxIUBxNmEHq2bNlSsmTJkuC+fgE+H6DpCY1POEvzDpkyZVJOvdq1ayeVKlXyvs1zEiABmxGgANRmHcbqhkbAexsEVvCg6Vm+fHll3BgDnq9Bz0xp99xzj0CQykACJEACJEACJEACJEACJEACJGA9gdOnTyu7nnBGlJijrc6dO0uHDh2kTJkyfiuwbNkyJUD94Ycf5MaNGwniYjdgr169lOOb9OnTJ7jPCyRAAvYkQCdI9uw31jpIAjCE3alTpyBTmYsOI9gwhs1AAiRAAiRAAiRAAiRAAiRAAiRgHYFffvlFCSvhv+HatWseGadIkULy5csnsNuJcPbsWcmaNas69v5z7tw55cUdAtTt27d731b5nDhxQpXRpUsXGTZsWII4vEACJGBvAsntXX3WngRIgARIgARIgARIgARIgARIgARIIF4IXLx4USCohGPaatWqyaRJkzyEn8WLF5eBAwfKwYMHpWfPnn6bvWHDBsEW9rvvvlsg2HQXfqZNm1ZatGghixYtUkLUbNmy+c2LN0mABOxNgFvg7d1/rL1JAtjG0Lp1a5Oxg4tWrly54BIwNgmQAAmQAAmQAAmQAAmQAAmQgAeBzZs3K21PCDwvXbrkcQ+anc2bN5c2bdpIxYoVPe55n/zzzz8ydepUlRcEoN6hcuXK6t0Q+fmzEeqdjuckQAL2JkABqL37j7U3SaBWrVqCDwMJkAAJkAAJkAAJkAAJkAAJkEDsEXj88cfl2LFjRsVSpUoldevWlVatWslTTz0l0Nj0F5IlS6ZuT5w4MYH5s4IFC8rzzz+vPlCO8Rf0fPzF4T0SIAH7EaAA1H59xhqTAAmQAAmQAAmQAAmQAAmQAAmQQFwSyJ49u8DPAry433HHHWG1sX79+tK7d2958MEHlfPbsDJjYhIgAVsToA1QW3cfK08CJEACJEACJEACJEACJEACJEAC8UMAHt+7desmjRs3VrY+sTU+1DBnzhyVD7zDf//993LhwoVQs2I6EiABmxOgANTmHcjqkwAJkAAJkAAJkAAJkAAJkAAJkIDdCfTv319paqIdN27ckGXLliknR3CGBMdHH374oRw+fDhgMx977DHp2LGjZM6cWcU9dOiQjB07Vpo0aSK5cuVStkQXLFggt27dCpgXI5AACcQPAQpA46cv2RISIAESIAESIAESIAESIAESIAESsCWBtm3byrp162TLli3y+uuvS44cOYx27NixQ3r16iX58+dXdkHh5Ojq1avGfRy4XC51XrhwYeVF/ujRozJhwgTlC0K364k006ZNkyeeeELlBS/y7p7h3fNRmfEPCZBA3BBIpv1I/N+vRNw0iQ0hARIgARIgARIgARIgARIgARIgARKwMwFogc6aNUvGjRsnCxcuTKCxCQ/uEHZu2rRJNfPs2bMCb/G+wt69e2X8+PHy9ddfCzRCvUOlSpWU4BUe5Lt06SLDhg3zjsJzEiABmxNIoRkX7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alt="" width="672" /></p>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;"> </p>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;">What does it mean? Apparently, my overall Genus diversity has declined in the past year, though it bumps up and down so much that it’s hard to see a real pattern with so few data points. It’ll be interesting to compare my diversity to a few other people using this function.</p>
<p style="box-sizing: border-box; margin: 0px 0px 10px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px;">My apologies for the super-technical nature of this post, especially with the un-cleaned R source code. I’m just throwing it on the blog so I discuss it with people who are way more knowledgable than I am and can hopefully guide me to something better. I’ll have much more to say later, after I actually understand what I’m talking about.</p>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-10934147916535387642015-07-20T14:59:00.000-07:002015-07-20T14:59:23.485-07:00For potato starch, maybe less is more?A friend who is enthusiastic about the affect potato starch had on his sleep, suggested that maybe my <a href="http://blog.richardsprague.com/2015/04/potato-starch-doesnt-help-my-sleep_25.html" target="_blank">less-than-stellar results</a> were caused by the amount I had been taking. Instead of 3-4 TBS/day, try a much smaller amount, he suggested, maybe only a teaspoon or so.<br />
<br />
My results are too preliminary to get excited yet, but at least for my short trial, the smaller amount seems to help. Interestingly, my overall sleep doesn't change much, but I <i>do</i> notice more dreams, and Zeo confirms that my REM sleep is up quite a bit.<br />
<br />
Here's the raw data (dumped straight from the R software I use to track everything). The one <span style="color: red;">marked in red below</span> is the most interesting number:<br />
<br />
<span style="font-family: Arial, Helvetica, sans-serif;">I tried potato starch on 91 days, and I have Zeo sleep data for a total of 45 of those days.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;">On 19 days I took exactly one tablespoon. On 6 days I took more than 0 but less than 1 tablespoon.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<b><span style="font-family: Arial, Helvetica, sans-serif;">For total sleep (Z):</span></b><br />
<br />
<ul>
<li><span style="font-family: Arial, Helvetica, sans-serif;">P-value on days when I had any potato starch: 0.3109656</span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">P-value on days when I had exactly 1 TBS: 0.2020084</span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">P-value on days when I had more than 0 but less than 1 TBS: 0.3041962</span></li>
</ul>
<b><span style="font-family: Arial, Helvetica, sans-serif;">For REM Sleep (REM):</span></b><br />
<br />
<ul>
<li><span style="font-family: Arial, Helvetica, sans-serif;">P-value on days when I had any potato starch: 0.2505854</span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">P-value on days when I had exactly 1 TBS: 0.0603005</span></li>
<li><span style="color: red; font-family: Arial, Helvetica, sans-serif;">P-value on days when I had more than 0 but less than 1 TBS: 0.0012399</span></li>
</ul>
<b><span style="font-family: Arial, Helvetica, sans-serif;">For Deep Sleep (Deep):</span></b><br />
<br />
<ul>
<li><span style="font-family: Arial, Helvetica, sans-serif;">P-value on days when I had any potato starch: 0.5148044</span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">P-value on days when I had exactly 1 TBS: 0.7402774</span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">P-value on days when I had more than 0 but less than 1 TBS: 0.3264305</span></li>
</ul>
<br />
<br />
<span style="font-family: Courier New, Courier, monospace;">## days Z.Mean REM.Mean Deep.Mean Z.SD</span><br />
<span style="font-family: Courier New, Courier, monospace;">## 0 128 6.364245 1.817969 1.048698 0.6971406</span><br />
<span style="font-family: Courier New, Courier, monospace;">## 0.25 1 7.000000 2.100000 1.133333 NA</span><br />
<span style="font-family: Courier New, Courier, monospace;">## 0.333333333333333 5 6.526667 2.136667 1.096667 0.5198290</span><br />
<span style="font-family: Courier New, Courier, monospace;">## 1 16 6.609979 1.975000 1.064583 0.7015906</span><br />
<span style="font-family: Courier New, Courier, monospace;">## 1.5 1 6.283333 1.300000 1.083333 NA</span><br />
<span style="font-family: Courier New, Courier, monospace;">## 2 7 6.111905 1.676190 1.019048 0.6943365</span><br />
<span style="font-family: Courier New, Courier, monospace;">## 2.5 1 5.750000 1.983333 1.250000 NA</span><br />
<span style="font-family: Courier New, Courier, monospace;">## 3 5 6.873333 2.050000 1.036667 0.6796241</span><br />
<span style="font-family: Courier New, Courier, monospace;">## 4 8 6.402083 1.752083 1.068750 0.7167186</span><br />
<span style="font-family: Courier New, Courier, monospace;">## 8 1 6.000000 1.433333 1.250000 NA</span>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-25866775166443097672015-07-18T14:46:00.001-07:002015-07-18T14:46:06.587-07:00A gut bacteria for caffeine metabolism?<p> 23andme says I’m a <a href="https://www.23andme.com/you/journal/pre_caffeine_metabolism/overview/">slow caffeine metabolizer</a> because I have the AC genotype at SNP <a href="https://www.23andme.com/you/explorer/snp/?snp_name=rs762551">rs762551</a>. You’d think that means I’m extra sensitive to caffeine before bedtime, but that’s not the case: I sleep just fine even if I have a cup of high-octane coffee after dinner. My 99-year-old grandmother drinks coffee by the potful, crediting its warmth as a calming effect to make her drowsy.</p>
<p>This week's <a href="http://www.economist.com/news/science-and-technology/21657765-novel-approach-pest-control-beetles-and-bugs">Economist points</a> to a new study in <a href="http://www.nature.com/ncomms/2015/150714/ncomms8618/full/ncomms8618.html#ref20">Nature</a> by Javier A. Ceja-Navarro et al that names <em>Pseudomonas Fulva</em> as a bacterium active in the guts of a coffee bean pest. Caffeine is normally toxic to insects, but P. Fulva neutralizes the caffeine, apparently using the demethylase ndmA gene. </p>
<p>I wish I knew enough genetics to test a theory that occurs to me: maybe my own caffeine metabolism is also affecting by a similar gut bacteria that I have in abundance but which is missing in other people. I already checked for Pseudomonas Fulva — I don’t have it in any of my uBiome samples. I <em>do </em>have abundant levels of the genus Pseudomonas, but that is not the same thing.</p>
<p>It should be possible to screen every one of my gut bacteria demethylizing ndMA gene, but I’m not sure how to do that. If I <em>did</em> find the gene in one of the gut bacteria I harbor, then that would be pretty cool: a microbe that helps me drink coffee.</p>
<p><img title="coffeeBeans.png" src="https://lh3.googleusercontent.com/-EMT90m-2IGU/VarJHOtRNAI/AAAAAAADQps/0eVRA8f81ZY/coffeeBeans.png?imgmax=800" alt="Coffee Beans" width="425" height="294" border="0" /></p>
<p> </p>
<p> </p>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-38232253898704443072015-07-06T16:25:00.000-07:002015-07-06T16:25:39.002-07:00Seth Roberts Rules for Self-ExperimentersDigging through the blog of the late <a href="http://blog.richardsprague.com/2014/04/remembering-seth-roberts.html">Seth Roberts</a>, I find many gems. Here is his concise summary of how to do self-experimentation. He mentions intending to write a book about this, but as far as I know it was never finished:<br />
<blockquote>
if you want to figure something out via data collection:<br />
1. Do something. Don’t give up before starting.<br />
2. Keep doing something. Science is more drudgery than scientists usually say.<br />
3. Be minimal.<br />
4. Use scientific tools (e.g., graphs), but don’t listen to scientists who say don’t do X or Y.<br />
5. Post your results.</blockquote>
Worth reading the entire<a href="http://blog.sethroberts.net/2007/01/08/methodological-lessons-from-self-experimentation-part-4-of-4/"> four-part blog post</a>.Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-85142857943745720662015-07-05T15:03:00.001-07:002015-07-05T15:07:10.816-07:00[book] The Gluten Lie<p><iframe src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=US&source=ss&ref=ss_til&ad_type=product_link&tracking_id=richasprag-20&marketplace=amazon&region=US&placement=1941393063&asins=1941393063&linkId=BBYOCAJXFLBUP46I&show_border=true&link_opens_in_new_window=true" style="width: 120px; height: 240px;" scrolling="no" marginwidth="0" marginheight="0" frameborder="0"> </iframe></p>
<p>Most people will think <a href="https://www.jmu.edu/philrel/people/faculty/levinovitz-alan.shtml">Alan Levinovitz</a>, a Professor of Religion, an unlikely author of a diet book, particularly one like this that refutes many of the most popular diet fads. But in fact it’s one of the best health books I know. Nobody should read a diet or health book without reading this one first.</p>
<p>In my half-century of life, I can remember science being applied to so many different health claims that I’ve forgotten all the now-discredited ones that were once popular, but Levinovitz provides some reminders. Take MSG, for example, which began its road to public vilification with a letter to the editor of <em>New England Journal of Medicine</em> by a doctor who had a bad experience at a Chinese restaurant. Throughout the 1970s it was implicated as the cause of so many ailments that it became the subject of much serious scientific inquiry that all turned up negative. To this day, many people are convinced MSG causes headaches, yet no well-designed study has ever found any difference between MSG and a placebo.</p>
<p>MSG, like gluten and most of the other substances that have come and gone in the public favor, is a <em>nocebo</em>, an inert substance that causes harm because of the <em>expectation</em> of harm, not from anything real. On and on it goes with many other embattled foods. Wheat gluten is just the latest, most popular example, following in the footsteps of a whole line of defamed foods: salt, cholesterol, red meat, soy, and on and on.</p>
<p>Part of the problem is that, for many substances, there really are some people who are negatively affected. Celiac Disease is real for some people, just as sugar is a problem for diabetics and lactose causes stomach distress for many. But just because something negatively affects <em>some</em> people doesn’t mean it’s bad for the rest of us.</p>
<p>Levinovitz’ religious studies background makes him uniquely qualified to see the parallels between various health claims and religious belief. Claims about food are often couched in terms that, with a slight tweak of terminology, would be entirely appropriate coming from a church pulpit. Here are some examples:</p>
<p><strong>You are what you eat:</strong> this idea can be traced to Galen, but it’s still in us. It’s why it’s so easy to sell the American public on the idea that eating fat makes you fat. Similarly, it’s not hard to convince some people that meat-eating, and its association with killing of animals, will make you more likely to be cruel to other humans.</p>
<p><strong>If it tastes good it must be bad. </strong>It’s not hard to see the Puritan streak in much of the American discussion of the dangers of processed foods. We like the taste of sugar too much, leaving us at the mercy of Evil Corporations (Satan) who exploit our innocent addictions (The Fall) in order to make Big Profits. The truth, unfortunately, it more complex.</p>
<p><strong>The monotonic mind.</strong> Religious people are comfortable with black and white conditions. To an Orthodox Jew, pork is 100% bad. The only optimal amount of coffee to a Mormon is zero. But with health, the rules are more complex. A glass of wine at a meal can be healthy for many people, but any positives go away quickly if you drink too much. Food is rarely if ever a black and white health vs unhealthy situation. The dose makes the poison. </p>
<p>Levinovitz gives many more interesting examples, including critical comments about Bulletproof’s David Asprey, Chris Kresser, and even Gary Taubes. Few diets or diet gurus are 100% <em>bad</em>, of course, and that’s why many will find the book frustratingly difficult to pin down. There’s a little something critical for everyone.</p>
<p>The most entertaining part of the book was the final two chapters, helpfully printed on darker paper to make it stand out. Levinovitz invents an entirely new diet fad, written uncritically in the first part, and then overwritten with his own comments in the second. At first, you’ll be tempted to think Levinovitz’ book is just like so many other diet books, which go into detail taking down other ways of eating, only to return with the One True Diet. But that’s why the second part is so interesting: as he might do with religious commentary, Levinovitz picks apart each of his own dietary claims to show how deceptive they are, how they fit into well-worn patterns, and why you shouldn’t be fooled.</p>
<p>That said, the book <em>does</em> offer one piece of dietary wisdom, but sadly it’s not the one most people are primed to hear. Moderation. Period. Don’t eat too much.</p>
<p>Perhaps not a satisfying conclusion to some people, but perhaps that’s to be expected when you take all the religion out of eating.</p>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-68753226078855302692015-07-01T22:15:00.001-07:002015-07-01T22:18:26.092-07:00My QS Seattle Talk: Cholesterol and my MicrobiomeMy presentation at the July meeting of <a href="http://www.meetup.com/Quantified-Self-Seattle/events/223265378/" target="_blank">Quantified Self Seattle</a>, with more details about the A/B experiment <a href="http://www.ubiomeblog.com/one-week-change-in-my-microbiome/">I wrote about on the uBiome blog</a>.<br />
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As always the best part of these presentations is the question and answer period, and the mingling that happens long after the formal talk. I met several people who gave me their own microbiome data right on the spot, and I was able to quickly analyze them with my uBiome tools.<br />
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One of the attendees told me about his own potato starch experiments and how it had dramatically improved his sleep, <a href="http://blog.richardsprague.com/2015/04/potato-starch-doesnt-help-my-sleep_25.html">contrary to what I found for myself</a>. The difference, we discovered, is in amounts: he uses only a teaspoon a day, much less than the 2-4 <em>tablespoons</em> I had been trying. I can’t wait to try a smaller dose to see if I can get the same great effect.Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-91632398408167286692015-06-29T16:35:00.000-07:002015-07-01T22:16:48.032-07:00My QS15 SlidesHere’s the presentation I made at the Quantified Self Conference in San Francisco last week. It doesn’t include audio, but the full text of the transcript is embedded in the notes.<br />
<iframe frameborder="0" height="355" marginheight="0" marginwidth="0" scrolling="no" src="//www.slideshare.net/slideshow/embed_code/key/4fgR91Skzsc9ck" style="border-width: 1px; border: 1px solid #CCC; margin-bottom: 5px; max-width: 100%;" width="425"> </iframe><br />
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<strong> <a href="https://www.slideshare.net/richardsprague/fish-oil-makes-me-smarter" target="_blank" title="Fish Oil Makes Me Smarter">Fish Oil Makes Me Smarter</a> </strong> from <strong><a href="https://www.slideshare.net/richardsprague" target="_blank">Richard Sprague</a></strong></div>
All presentations at this year's conference were on a strict timer: each slide was displayed for exactly 15 seconds, in PowerPoint's automatic mode, so there was no way to go back if you missed something or rambled too long. Although that helped focus the talks and ensured everyone was well-prepared, in my case somebody's unattended cell phone started blaring about a minute into my presentation. It was very distracting and normally a speaker would need to acknowledge the interruption so the noisemaker could be silenced, but the 15-second rule required that I plod on. Hopefully when the audio is released in a few weeks, the noisy phone won't be audible, though it unfortunately meant the audience probably missed key parts of the presentation.<br />
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Anyway, I was honored to be the final Show and Tell talk, featured in the closing plenary, where I was proud to offer a small tribute to my QS mentor <a href="http://blog.richardsprague.com/2014/04/remembering-seth-roberts.html">Seth Roberts</a>. Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-58467968838234248772015-06-27T12:55:00.001-07:002015-06-27T13:13:33.811-07:00Inside Cell Block 7Signs all over said leave your cell phone in the car, so I have no photographic evidence, but we spent our morning at the <a href="http://www.cellblock7.org/">Cell Block 7 Prison Museum</a> near Jackson, Michigan. It’s a working state correctional facility but they operate a museum in an unused wing. You can visit the prison yard, see the cells and the place where they eat, look at an exhibit of confiscated weapons, everything.<br />
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It was especially interesting to talk to a former guard, a retired guy who likes to spend his Saturdays volunteering as a docent. He says that although the guards were outnumbered about 80 to one, they typically walk through the prison and interact one-on-one with prisoners and after working there a while, the inmates and guards become pretty friendly with one another. The New York prison escape is in the news, so we asked and he says it can only have been possible if there was widespread corruption among the staff. All the other prisoners must have known the details of the escape while it was being planned. It’s just a thing among prisoners that they all get to know one another, there are no secrets, and there are no snitches.<br />
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Yes, homosexual activity is extremely common. Especially if you’re a young, white man, he says, you will certainly be a target, and you may as well just get used to it. In the showers, in the laundry room — the guards just can’t watch everyone all the time. The prisoners repeat over and over that they’re not gay, it's just something they all need to do.<br />
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You should have see the clever weapons and other confiscated contraband. Plenty of sharpened screwdrivers, spoons, scissors, etc, but other things too: one guy even made a working set of walkie-talkies. Some of the prisoners had TV sets in their cells, which apparently is completely okay as long as it was purchased in the prison store.<br />
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From the upper level of the museum cell block, you could look out over the entire facility and see current inmates walking to and fro. I think Michigan must be fairly progressive in its policies (they banned capital punishment in 1846) because the prisoners are all kept busy, on everything from making license plates to growing trees. They have one big rule, though: no prisoner can earn money or be assigned a non-cleanup job, unless they pass their GED.<br />
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It feels good to be tough on crime, to think it’s okay for prisons to be cruel places where they get what they deserve, but you need to remember that many of these inmates are fundamentally good people who just made a mistake. I imagine what it must be like to have your own son or brother in jail, and how you’d want the place to be fair to him. Sixty percent of those who are released end up coming back to prison, partly because there are so few things they can legally do on the outside. Many of them study for business degrees, intending to start their own businesses, like landscaping or home repair. Many of them end up in food service, as cooks, waiters, dish washers, etc.<br />
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<img alt="Cell Block Seven Logo" border="0" height="101" src="https://lh3.googleusercontent.com/-hyzL0GM7TX4/VY7_ugYyLlI/AAAAAAADOdM/7SnAEqS4xiI/cellBlock7.png?imgmax=800" title="cellBlock7.png" width="240" />Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-33779462081553443282015-06-26T06:31:00.001-07:002015-06-26T06:35:33.517-07:00Overselling the microbiome<p>Here’s the cover of a magazine I saw yesterday in the grocery store checkout lane:</p>
<p> <img title="tabloidMicrobes.JPG" src="https://lh3.googleusercontent.com/-P8OqT1rxBtQ/VY1VAUPr8sI/AAAAAAADOaw/6-MdPc4b6Kg/tabloidMicrobes.JPG?imgmax=800" alt="Tabloid cover on microbes" width="200" height="266" border="0" /></p>
<p>I thought about submitting it to Jonathan Eisen's list of <a href="http://phylogenomics.blogspot.com/search/label/overselling%20the%20microbiome">Overselling the Microbiome</a>, but sadly, I don’t think it would make the cut. These types of articles are becoming too common to deserve an award.</p>
<p>There is surprisingly little that is known about the microbiome, and for every study that shows some connection between this or that microbe and this or that condition, there are counter-examples galore. Some of it is a measurement issue: even if you <em>do</em> sample a person’s microbiome, are you sure it’s a representative sample? Studies of gut microbes are nearly always made on the organisms that <em>exit</em> the body, so by definition any measurement is of something that is no longer bioactive.</p>
<p>I’m interested in the microbiome because I think the whole subject is incredibly fascinating, and I believe that eventually science will find some deep insights that will radically alter the way we think about what it means to be human. I hold out hope that we may find a few tricks to manipulate the microbiome in some specific cases, and certainly in general it is good to learn more about how our bodies work. </p>
<p>But c’mon people, tone it down a little.</p>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-24547877467937993172015-06-25T16:01:00.001-07:002015-06-25T16:01:26.559-07:00Which species do I track?<p>At the Microbiome breakout during last week’s <a href="http://blog.richardsprague.com/2015/06/what-i-learned-at-quantified-self-2015.html">Quantified Self Conference</a>, several people were interested in the list of organisms I track.</p>
<p>Here’s the list, along with my own results for the past seven samples: </p>
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<tr class="tableizer-firstrow"><th></th><th>May</th><th>Jun</th><th>Oct</th><th>Jan</th><th>Feb</th><th>21-Apr</th><th>28-Apr</th><th> </th></tr>
<tr><td>Akkermansia</td><td>3.10%</td><td>1.97%</td><td>0.76%</td><td>0.63%</td><td>NA</td><td>1.16%</td><td>0.95%</td><td>genus</td></tr>
<tr><td>Bifidobacteria Longum</td><td>0.00%</td><td>NA</td><td>0.19%</td><td>0.96%</td><td>0.21%</td><td>0.05%</td><td>0.00%</td><td>species</td></tr>
<tr><td>Bifidobacterium</td><td>0.85%</td><td>0.65%</td><td>5.87%</td><td>6.65%</td><td>0.69%</td><td>0.71%</td><td>0.00%</td><td>genus</td></tr>
<tr><td>Christensenella</td><td>0.03%</td><td>NA</td><td>0.00%</td><td>0.00%</td><td>NA</td><td>0.01%</td><td>0.01%</td><td>genus</td></tr>
<tr><td>Christensenellaceae</td><td>8.26%</td><td>3.97%</td><td>4.03%</td><td>4.10%</td><td>1.35%</td><td>0.00%</td><td>0.00%</td><td>family</td></tr>
<tr><td>Faecalibacterium prausnitzii</td><td>9.96%</td><td>6.23%</td><td>0.58%</td><td>9.54%</td><td>13.64%</td><td>10.64%</td><td>16.56%</td><td>species</td></tr>
<tr><td>Roseburia</td><td>1.36%</td><td>1.12%</td><td>0.78%</td><td>4.28%</td><td>1.08%</td><td>0.80%</td><td>4.94%</td><td>genus</td></tr>
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<p>Why this particular list? I’ll be honest: no particularly strong reasons. Most of these are derived from various conversations with the super-knowledgable Grace Liu, now based at <a href="http://thegutinstitute.com/">The Gut Institute</a>. I strongly encourage you to follow her there, and on twitter @gut_goddess for better information.</p>
<p>Note: after speaking more with experts at uBiome and elsewhere, I’ve concluded that it’s okay to trust the species information for many of the organisms, including the ones above. Although 16S rRNA is not very reliable at detecting anything below the genus level in general, there are some organisms where the genus <em>is</em> the relevant species. Sure, I suppose it’s theoretically possible that another species may exist as part of that genus, but in reality none has been found in humans.</p>
<p>Also note: even the word “species” doesn’t mean the same thing for bacteria that it means when speaking of lifeforms like humans that reproduce sexually. After all, bacteria reproduce by simply dividing in half. There is no concept of of a “species divide” like that one that prevents a dog, for example, from reproducing with a cat. There is plenty of gene transfer and gene mixing that occurs among bacteria, but that often (perhaps usually) crosses the lines of what we might think of as unique species.</p>
<p>The bottom line: don’t get too hung up on a particular species. If something is biologically active, it may not matter whether you’re tracking at the genus level or the species level. Well, maybe it matters, but for most purposes you won’t get any closer by knowing the species name. In some ways, knowing that something is a member of a particular species can give you a false sense of confidence, when in reality science knows far less about the activities of these organisms than we would all hope.</p>
<p>Do you have any specific organisms that <em>you</em> like to track?</p>
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<p> </p>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-54298159960228943722015-06-24T04:05:00.001-07:002015-06-24T04:08:43.578-07:00Fact-checking should be a business<div>
From <a href="http://www.vulture.com/2015/06/will-book-publishers-ever-start-fact-checking.html">Vulture.com</a>:</div>
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By tradition and by default, books aren’t verified to anything near the standard of a magazine piece.</blockquote>
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I am continually amazed at how often mainstream, otherwise trust-worthy news sources get things wrong. As the quip goes, “I find that the <em>New York Times</em> is always right, except in areas where I have first-hand knowledge.” Even peer-reviewed scientific journals are not immune: only about <a href="http://www.nature.com/news/first-results-from-psychology-s-largest-reproducibility-test-1.17433">40% of results</a> published in top-tier psychology science journals can be fully replicated.<br />
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There are plenty of everyday examples:</div>
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<li>Medical and health information is notoriously inaccurate, even from sources you’d hope you can trust. For decades, the Center for Science in the Public Interest, as well as the National Academy of Sciences, <a href="http://www.academia.edu/1429225/The_Perfect_Solution_How_Trans_Fats_Became_the_Healthy_Replacement_for_Saturated_Fats">encouraged the American public to eat trans-fats</a>.</li>
<li>A quote regularly repeated by New York Times op-ed author David Brooks, about a rising sense of self-importance among American adolescents <a href="http://www.salon.com/2015/06/15/the_facts_vs_david_brooks_startling_inaccuracies_raise_questions_about_his_latest_book">appears to be entirely wrong.</a> </li>
<li>Many, many books have been retracted, or published with disclaimers</li>
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What if there were an organization, like UL (that approves electrical equipment) or Consumer Reports (that recommends a variety of household products), only instead of dealing in physical goods, they put their stamp on books or magazines? Of course we already have book reviews, often by people who are themselves experts in the subject, but how many of them go systematically through all the facts and references to be sure that every claim in the book is accurate?<br />
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<a href="http://community.cochrane.org/cochrane-reviews">Cochrane</a> is one independent organization that tries to be systematic in its reviews of the trustworthiness of medical findings. <a href="http://verificationist.com/index.html">Verificationist</a> is a service that offers to do fact-checking for books on behalf of publishers or authors. Morningstar and many other investment advisory firms do this for stocks and bonds. Can’t we get something similar for books?<br />
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Unfortunately I think this would be a lousy business. Too few publishers or authors would be willing to pay to have their own work fact-checked, and most customers, if given a choice, would prefer a cheaper book with facts presented in “good faith” over a more expensive one that was independently vetted.</div>
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<img alt="Francis Bacon What is Truth" border="0" height="300" src="https://lh3.googleusercontent.com/-ySQCQxNYlh0/VYqO4Sdp3-I/AAAAAAADOJE/A6i69eQFjsA/FrancisBaconEssays.png?imgmax=800" style="float: left;" title="FrancisBaconEssays.png" width="164" /><br />
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Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-48548419147152264392015-06-23T19:10:00.001-07:002015-06-23T19:10:06.745-07:00[book] Epidemic of Absence<p><iframe src="http://rcm.amazon.com/e/cm?lt1=_blank&bc1=000000&IS2=1&bg1=FFFFFF&fc1=000000&lc1=0000FF&t=richasprag-20&o=1&p=8&l=as4&m=amazon&f=ifr&ref=ss_til&asins=1439199388" style="width: 120px; height: 240px;" scrolling="no" marginwidth="0" marginheight="0" frameborder="0"></iframe></p>
<p>Ecosystems go all the way up and all the way down. Just as humans affect -- and are affected -- by the bigger world of animals, forests, oceans, and sky, we are also part of a deeper micro-sized world of bacteria and viruses, many (most?) of them far older than we are, and constantly adapting to all the harshness of life, including the new realities of human-made antibiotics and hygiene. Control over nature is an old goal of science, but nature is never fooled forever. The great bridges and dams that make one side of our lives better can have unforeseen consequences to other parts of our world. </p>
<div>So it is with the micro world too. Even the simplest steps we take to keep clean or warm, conveniences like indoor plumbing or heating, induce changes to unseen world of microbes, which not only outnumber us but out-class us in diversity and complexity. Eliminate one from our lives and who knows what it will do.</div>
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<div>Moises Velasquez-Manoff presents an intriguing and sometimes terrifying survey of what little is known about the microbes around us. Focusing on allergies and autoimmune diseases, he writes in detail about the "hygiene hypothesis", that as the world gets richer and cleaner, our under stimulated immune systems get bored and turn on the body itself. A whole range of new diseases, from hay fever to asthma to crohn's disease, all seem to co-occur with modernity. People of the same genetics and culture -- Finns separated by the Iron Curtain, for example -- suffer these diseases at very different rates. Even zoo animals develop afflictions unknown in the wild. The more "clean" and "modern" you are, the more you invite previously unheard of conditions. </div>
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<div>Even more intriguing is the "old friends" hypothesis, that having co-evolved with us, many of these microbes are actually <em>necessary</em> for health. From digestion to mood, when you take away the organisms that have covered us for millions of years, you invite trouble. Sadly, by driving many of these creatures to extinction -- an inadvertent result of hygiene practices intended to wipe out other afflictions -- we may be adversely affecting our human ecosystem in ways we don't yet understand. Wipe out a wolf population to spare human livestock and the deer begin to trample wild plants, carving the forest in unpredictable directions. There is some good, of course, but some bad too, and the scary part is that science doesn't know way too little about which is which.</div>
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<div>I am extremely fortunate to have been spared many of the awful afflictions presented in this book: hay fever, peanut allergies, asthma, eczema and more. So little is known about how to treat the sometimes terrible discomforts involved, and if you suffer from them, you may understandably be willing to try just about anything, including treatments with parasites like hookworm, so mainly you want to know: does it work? The answer is maybe, but not definitely, and you may also introduce other problems. The author recounts how he self-inflicted in a Tijuana clinic (sadly, the treatment is illegal in the US) and yes, it helped. But the side effects (headache, diarrhea) were no picnic, and the treatment is no cure: to maintain relief from allergies, he needs to continue taking the worms. With no independent auditors in place, you run the risk of acquiring other diseases along with the worms: HIV maybe or hepatitis -- the cure can be worse than the disease. </div>
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<div>This definitely was one of the best science books I've read in a long time, and if you or a loved one suffers from autoimmune diseases, you'll appreciate the well-written and thorough survey of what is known. I doubt there is any work nearly as good; I think this is one of those areas of science that is so new, and so potentially different from centuries of medical progress, that you really need somebody like this author -- not a scientist, but a science journalist -- to look into the issues and present them for you (which he does, well, and with the right amount of both optimism and skepticism).</div>
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<div>A sampling of some ideas: how pregnancy is central to the passing of important microbes. Yes, you should lick your baby's pacifier, and chew their food for them if you can -- the microbes in your saliva are highly optimized for your genes and environment. Even autism may have a microbe component: some kids reverse their symptoms when fighting a fever, or an infection. H. <em>pylori</em>, the strange bug whose role in ulcers earned its discoverers a Nobel prize, may actually be necessary in many of us. </div>
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<div>In fact, the lesson of <em>h. pylori</em> or the EVB virus is a good summary of many of the bugs around us: often they are neither all good nor all bad. Nature is not a fight between pure good and pure evil, but rather a constant tension among multiple constituencies vying for power. Rather than focus on permanently vanquishing one or another "foe", we need to consider the entire ecosystem and realize how little we really know after all. </div>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-17890974864008666022015-06-22T20:04:00.001-07:002015-06-22T20:04:17.355-07:00What I learned at Quantified Self 2015<p>I’m back from two jam-packed days at the QS15 (the<a href="http://qs15.quantifiedself.com/"> Quantified Self Conference</a>) held at Fort Mason, in San Francisco, and I have a few impressions.</p>
<p>There were three “cool” new ideas that I thought played an outsize role at this conference:</p>
<h4>1. All things Microbiome</h4>
<p>(<a href="http://blog.richardsprague.com/2015/05/my-gut-diversity-through-time.html">obviously</a> I would think so). uBiome was there, including an appearance at the first day’s plenary by Jessica Richman. My <a href="https://twitter.com/sprague/status/611697229527543808">tweet</a> (and heavily <a href="https://twitter.com/Rock_Health/status/611959918111924224">retweeted</a>) summary of the session was a quote from the first speaker: “We are the last generation without personalized medical data”. That’s true for the microbiome especially, and it was wonderful talking with so many people about their new bacterial experiments. I’ll write more in future posts.</p>
<h4>2. Heart Rate Variability</h4>
<p>With better technology for measuring heart rates, many people have noticed that pulse/minute is a less useful measure than <em>variability. </em>Sometimes it’s more meaningful to look at how much each heart wave length varies from the others: high variability tends to be associated with creativity or improved mental processing, whereas low variability tends to be accompanied by stress or low learning situations. </p>
<p><a href="http://quantselflafont.com/">Paul LaFontaine</a> used HRV measurements to demonstrate that he is more nervous in situations involving presentations to groups of people than he is in situations reporting to a superior. <a href="http://www.slideshare.net/mark_pdx/a-hearty-habit-mark-leavitt-qs2015-conference-show-and-tell">Mark Leavitt</a> showed it as a way to measure willpower. </p>
<h4>3. Direct Cranial Stimulation</h4>
<p>I thought this was fringe stuff when <a href="http://www.nytimes.com/2013/11/03/magazine/jumper-cables-for-the-mind.html?pagewanted=all">I first heard of it</a> a few years ago, but enough people have tried it that I’m starting to rethink my skepticism. JD Leadam even has a company, <a href="https://thebrainstimulator.net/">https://thebrainstimulator.net/</a> selling devices for a little over $100.</p>
<h4>Other</h4>
<p>I was especially impressed by a breakout session led by Evian Gordon (<a href="http://mybrainsolutions.com/">http://mybrainsolutions.com</a>) who seemed to know a <em>ton</em> about every imaginable aspect of assessing mental performance. Anyone interested in <a href="http://blog.richardsprague.com/2015/04/yup-statins-make-me-smarter.html">Seth’s Brain Tracker</a> would want to understand what those guys are doing as well. <a href="http://danielgartenberg.com/">Daniel Gartenberg </a>is another psychology expert in attendance who I knows a lot about this subject. I had good results beta-testing an app he wrote that claims to help with deep sleep, so it was nice to talk with him in person again. </p>
<p>What I <em>didn’t</em> see: Apple Watch. Oh sure, there were some discussions of HealthKit and ResearchKit, but unlike QS15, which seemed to be attended by a significant percentage of the world’s Google Glass wearing population, I saw very few Apple Watches. Whether this is because the availability is still so limited or whether the QS early adopters just haven’t taken to the Watch yet — I don’t know.</p>
<p>I’m expecting that <a href="http://quantifiedself.com/">http://quantifiedself.com </a>will dish out many more details in upcoming days and weeks. Worth watching further.</p>
<p><a title="View 'Quantified Self Conference 2015' on Flickr.com" href="https://www.flickr.com/photos/sprague/18818996048"><img style="float: left;" title="Quantified Self Conference 2015" src="https://farm1.staticflickr.com/379/18818996048_0b8c133566.jpg" alt="Quantified Self Conference 2015" width="500" height="375" border="0" /></a></p>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-35306041853532878902015-06-11T13:51:00.004-07:002015-06-11T13:51:44.283-07:00Zocdoc vs OpenTableThe idea behind <a href="https://www.zocdoc.com/" target="_blank">ZocDoc</a> is brilliant: a modern, super-easy web site that lets you book a doctor appointment as easily as OpenTable lets you book restaurant reservations. ZocDoc knows each doctor’s specialties, which ones take which insurance plans, their location, and — the best part — which times are available for appointments. Go to one web site, enter your information, and immediately doctors in your neighborhood that meet your requirements. Find one you like, book the appointment, and that’s it!<br />
<br />
That’s what’s supposed to happen, but unfortunately the inanity of the American healthcare system gets in the way, and today was the second time I’ve been unhappily surprised at the results.<br />
<br />
The front end works fine. I entered my information and quickly found a list of doctors in my area that meet my requirements, including availability times. I hit submit and that was it: a nice, professional confirmation for a visit with a doctor with good reviews. They even added the appointment automatically to my iPhone calendar, and offered to text me a reminder before the visit. ZocDoc already knows my insurance and basic health information, so I didn’t even need to fill out additional forms for the visit. Perfect!<br />
<br />
Unfortunately, that’s as far as the resemblance to OpenTable restaurant reservations ends. I had scheduled my appointment for 1pm, right after lunch in the area close to where I knew I was going, but early on the day of the appointment I received an odd email from a <em>different </em>doctor confirming my appointment for 11am. The ZocDoc site knew nothing about this, so I called the new doctor to see what was happening.<br />
<br />
The new doctor’s receptionist was confused too. From her point of view, I had made an appointment at 11am. If I didn’t show up on time, or if I canceled the appointment less than 24 hours beforehand, she would charge me a fee. The fact that I had booked it through ZocDoc — and that I had a different time confirmed — was not relevant to her.<br />
<br />
Well, I shifted things around so that I was able to make the 11am appointment, but frustratingly, when I arrived I had to fill in all the forms (again). A cheerful physician’s assistant brought me into the exam room, took my vital signs and then, almost as a side comment, warned that my insurance company probably wouldn’t reimburse me for today’s visit. What!?<br />
<br />
By then, it was really too late for me to get up and walk out the door. The doctor arrived, I had my brief appointment (I wanted somebody to look at a suspicious mole) and that was it. No problems, I’m fine.<br />
<br />
Later, at the original ZocDoc appointment time, I received that promised text message reminding me of my visit and helpfully offering to give me additional support if I reply with the message ’s’. I did, and talked with a very kind, helpful ZocDoc representative who assured me that they do everything possible to ensure that I have a good experience, blah blah blah.<br />
<br />
This is turning into a long rant and I appreciate, dear reader, your indulgence as I get this off my chest. But it occurs to me that ZocDoc is in a business that is fundamentally so different from OpenTable, that it may be impossible to give me a good experience. Unlike OpenTable, ZocDoc’s “customers” (physicians pay them a flat monthly fee to be listed on the site) already have too many IT systems. From insurance and Medicaid reimbursement to government-mandated certification, HIPAA, and reporting requirements, their staff is probably just too busy to deal with yet another web site. Solving that “last-mile” problem with the receptionists would require much more training and hand-holding than ZocDoc can afford.<br />
<br />
Eventually all of this will be sorted out and sometime in the future doctors will join the 20th century IT revolution just like every other industry, but it will be a long time. If you want high-tech, don’t go to the doctor: go to a restaurant.<br />
<img alt="ZocDoc logo" border="0" height="48" src="https://lh3.googleusercontent.com/-MWYTFHyL1bg/VXn0Dh9oHpI/AAAAAAADM2M/-I1z4mMvun8/ZocDoc%252520logo.png?imgmax=800" title="ZocDoc logo.png" width="270" /><br />
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Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-79673722682017890202015-05-11T21:26:00.001-07:002015-05-11T21:26:49.366-07:00Bacteroides plebeius and me<p> Japanese people are able to digest sushi better than other people <a href="http://www.nature.com/news/2010/100407/full/news.2010.169.html">thanks to enzymes in Bacteroides plebeius</a>, a bacterium that was first discovered in 2005 and later <a href="http://www.nature.com/nature/journal/v464/n7290/full/nature08937.html">found to be common</a> in Japanese guts. The<a href="http://www.nature.com/nature/journal/v464/n7290/full/nature08937.html#B7"> 2010 paper in </a><em>Nature</em> that analyzed this could find no non-Japanese who harbored it, providing <a href="http://www.npr.org/templates/story/story.php?storyId=125675700">some speculation</a> that the microbe has co-evolved with Japanese people, perhaps over thousands of years, to let them digest carbohydrates present in the nori seaweed that wraps the sushi.</p>
<p>Well, I appear to be an exception, according to my uBiome results. I don’t have any Japanese ancestry, but I <em>do</em> have a ton of <em>B. plebeius, </em>an incredible 16% of all the species identified in my October sample. (uBiome was only able to identify about 65% of the species present, so 16% is quite high).</p>
<p>This doesn’t seem to be a fluke in the uBiome data. After seeing <a href="https://github.com/richardsprague/uBiome">my free RuBiome tools</a>, many people have sent me their own uBiome results, but of the dozen or so I’ve analyzed, none of them (all North Americans, like me) have any <em>B. plebeius. </em>If the uBiome test didn’t accurately identify this species, I’d expect at least <em>some</em> of these other users to find in it in their guts too. Nope, I appear to be unique.</p>
<p>The obvious answer is that I picked it up sometime during the ten years <a href="http://blog.richardsprague.com/2014/05/maybe-japan-is-not-really-lost.html">I lived in Tokyo</a> during the 1980s and 90s. I love eating new things, and I certainly ate my share of raw konbu and other types of seaweed. Guess I must have brought home more than just the memories of good meals.</p>
<p>I don’t eat nearly as much sushi and seaweed as I used to, though my kids and I enjoy good, high-quality Japanese <a href="http://www.amazon.com/gp/product/B0093ZTUEA/ref=as_li_tl?ie=UTF8&camp=1789&creative=390957&creativeASIN=B0093ZTUEA&linkCode=as2&tag=richasprag-20&linkId=LVLBHBGBLDQZ5P4K"><em>koshihikari</em> rice</a> a few times each week, often wrapped with toasted nori. That’s probably not as good for my <em>plebeius</em> as the raw stuff, and come to think of it, my latest February uBIome results show much lower amounts: down to less than 1%.</p>
<p> Okay, I know what’s on my shopping list the next time I’m at a Japanese grocery.</p>
<p><a title="2011-05-23%2017.58.32 by Mike Linksvayer, on Flickr" href="https://www.flickr.com/photos/mlinksva/5754120066"><img src="https://c2.staticflickr.com/6/5108/5754120066_d4da8180a6.jpg" alt="2011-05-23%2017.58.32" width="500" height="375" /></a></p>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-62395913819956317482015-05-05T10:28:00.001-07:002015-05-05T11:05:35.628-07:00My gut diversity through time<p>Clark Ellis posts a nice summary of his uBiome results over at the <a href="http://www.ubiomeblog.com/gut-wars/">uBiome Blog</a> and now, with more detail at <a href="https://autodidactauthor.wordpress.com/2015/05/05/gut-wars-diversity-2/">The Self-Taught Author blog</a>. A long period of antibiotic use has made him acutely interested in the understanding gut diversity, so he asks others to post their uBiome diversity results too.</p> <p>Here’s mine:</p> <p><a href="http://lh3.googleusercontent.com/-PNeM2JJasxQ/VUj9rBhoK8I/AAAAAAADBJI/DD4-LJKgWyc/s1600-h/Untitled_Clipping_050515_102713_AM%25255B5%25255D.jpg"><img title="Untitled_Clipping_050515_102713_AM" style="border-top: 0px; border-right: 0px; background-image: none; border-bottom: 0px; padding-top: 0px; padding-left: 0px; border-left: 0px; display: inline; padding-right: 0px" border="0" alt="Untitled_Clipping_050515_102713_AM" src="http://lh3.googleusercontent.com/-fKAUX-vRhCY/VUj9tSFCC_I/AAAAAAADBJQ/W-0c-aCIM7k/Untitled_Clipping_050515_102713_AM_thumb%25255B3%25255D.jpg?imgmax=800" width="454" height="369"></a></p> <p>A few caveats:</p> <ul> <li>These values only represent the <em>identified</em> results, which generally bounce from about 70% (at the genus level) to 95% (phylum). There could well be dozens, perhaps thousands, of other unique bacteria that are simply too rare to be counted by the uBiome technology.</li> <li>A single bacterium can have a big effect, so it probably doesn’t mean much to look at raw counts. Remember that the mammalian genus <em>canis</em> includes wolves, coyotes, and jackals in addition to your trusty dog Fido. Simply knowing there’s a <em>canis</em> at the door tells you nothing about whether it’s safe to go out.</li> <li>Species information is (probably) meaningless. uBiome uses 16S rRNA technology that can’t differentiate below the genus level. They don’t even post species information on their web viewer; you have to uncover it from the raw data like I did. They claim it’s “experimental”, which I interrupt to mean they apply some statistical “guess”, perhaps based on general trends. Anyway, you shouldn’t rely on it.</li></ul> <p>Something strange happened in my June sample, which was taken three weeks after the one from May, in what was frankly a boring period of my life (no travel, no unusual food, no camping, etc.). It’s possible that result was simply a mistake.</p> <p>Note: all of my data is <a href="https://github.com/richardsprague/uBiome/tree/master/Data">posted on GitHub</a>, and you’re welcome to explore it and compare to your heart’s content as long as you promise to let me know if you find anything interesting!</p> Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-15996937880989115762015-04-26T13:15:00.001-07:002015-04-26T13:15:25.220-07:00A year without Seth Roberts<p>Hard to believe it’s <a href="http://blog.richardsprague.com/2014/04/remembering-seth-roberts.html">been a full year</a>.</p> <p><a title="http://www.seth-roberts-memorial.com/" href="http://www.seth-roberts-memorial.com/">http://www.seth-roberts-memorial.com/</a></p> Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-8213561144135591332015-04-25T10:05:00.000-07:002015-04-25T10:05:03.720-07:00Potato starch doesn't help my sleepI've been <a href="http://www.ubiomeblog.com/my-ubiome-sleep-hacking-update/">experimenting</a> with the relationship between sleep and resistant starch, taking a few tablespoons of Bob's Red Mill potato starch, which some people think improves sleep by feeding the helpful Bifidobacterium that<a href="http://www.pnas.org/content/108/7/3047.long" target="_blank"> may play a role</a> in producing up to 80% of the body's serotonin.<br />
<br />
There’s no question the potato starch raised my Bifido levels:<br />
<img alt="Sprague Bifido over time" border="0" src="http://lh3.googleusercontent.com/-TDVQ565BjVQ/VTvHg8vJeDI/AAAAAAADBBI/oBdJ2U8iLwA/Pasted_Image_4_25_15__9_52_AM.jpg?imgmax=800" height="157" title="Pasted_Image_4_25_15__9_52_AM.jpg" width="238" /><br />
<br />
But it seems not to have changed my sleep, either in overall hours:<br />
<img alt="Sprague Z vs potato starch" border="0" src="http://lh3.googleusercontent.com/-hnfsBjBOH-4/VTvHchVHZ5I/AAAAAAADBA4/FmOZ06pPS_s/_var_folders_sl_k2p3_2pj51j64_dz8d3h127h0000gn_T_Rtmp3EtSEz_Preview-becb7e1cca17_html.jpg?imgmax=800" height="199" title="_var_folders_sl_k2p3_2pj51j64_dz8d3h127h0000gn_T_Rtmp3EtSEz_Preview-becb7e1cca17_html.jpg" width="335" /><br />
or in a more precise measure, like REM:<br />
<img alt="Sprague REM vs potato starch" border="0" src="http://lh3.googleusercontent.com/-PFGNQvjAuyY/VTvHe-u5G-I/AAAAAAADBBA/Cjab_3exSn0/_var_folders_sl_k2p3_2pj51j64_dz8d3h127h0000gn_T_Rtmp3EtSEz_Preview-becb7e1cca17_html.jpg?imgmax=800" height="204" title="_var_folders_sl_k2p3_2pj51j64_dz8d3h127h0000gn_T_Rtmp3EtSEz_Preview-becb7e1cca17_html.jpg" width="323" /><br />
You can see from these charts that I <em>did</em> notice some fantastic nights of sleep after starting potato starch, but there were plenty of other nights when my sleep was back to normal and sometimes worse. If I hadn’t measured so carefully, I’d be tempted to overplay the good and underplay the not-so-good. If there’s a psychosomatic effect, then yeah it may have made me feel better, but in terms of actual sleep time, resistant starch doesn’t seem to have helped.<br />
Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-75605691654809067572015-04-23T13:19:00.001-07:002015-04-23T13:31:45.624-07:00Upcoming talk: Your Microbiome, Your Health<p>If you’re in the Seattle area on April 29th, I hope you’ll come to a talk I’ll be giving for <a href="https://www.facebook.com/theSTEAMvent">The STEAM Vent</a>, a local science event organizer. I’ll present the latest that I’ve learned about the microbiome, including the results of a bunch of <a href="http://blog.richardsprague.com/2015/03/what-potato-starch-really-did-to-my-gut.html">self-experiments</a> I’ve done since last year to understand more and learn how to manipulate my own microbial environment.</p> <p>I’m super-excited that uBiome has generously offered a bunch of prizes for attendees, including free uBiome gut kits (worth $89) and some t-shirts. </p> <p>The event will be held at <a href="http://tsmchughs.com/">T.S. McHugh’s</a>, an Irish Pub/Restaurant near the Space Needle. They’re offering a special “microbe-friendly” meal beforehand, an entrée that includes fresh sauerkraut and other healthy bacterial cultures for those who want to feed their microbes.</p> <p>My talk starts at 7:30, and The STEAM Vent charges an admission fee of $10. But I strongly encourage you to come a little earlier for the meal ($25, including admission).</p> <p>Find out more at the <a href="http://www.meetup.com/The-STEAM-Vent/events/221855759/">Meetup page</a>.</p> <p><img src="http://photos2.meetupstatic.com/photos/event/4/e/4/e/global_431900046.jpeg"></p> Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-78250114443576414882015-04-07T17:23:00.000-07:002015-04-13T15:12:24.149-07:00Yup, statins make me smarter<div style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px; margin: 0px 0px 10px;">After a <a href="http://blog.richardsprague.com/2015/03/will-statins-make-me-smarter-too.html" target="_blank">fifteen day test</a>, I’ve concluded that 20mg of simvastatin daily has a major effect on my results on Seth Robert’s Brain Reaction Time (BRT) test.</div>
<p><img style="float: left;" title="StatinBRT.png" src="http://lh6.ggpht.com/-MlrCxfjvPUY/VSw-WN_lFEI/AAAAAAADAnY/5Gpqy_RN-8o/StatinBRT.png?imgmax=800" alt="Statin affect on BRT" width="599" height="428" border="0" /></p>
<div style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px; margin: 0px 0px 10px;">
<img style="box-sizing: border-box; height: auto; max-width: 100%; vertical-align: middle;" title="" alt="" width="627" />
</div>
<div style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px; margin: 0px 0px 10px;">Notice the big changes on the days before and after taking the statin (the “treatment”). The two weeks before were “clean” – no fish oil, no other special vitamins, foods, travel, or other changes in daily habits – making the change even more obvious and sudden: just one day makes the difference. (The chart shows BRT measurements roughly 24 hours after treatment).</div>
<div style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px; margin: 0px 0px 10px;">With n=33, here’s a simple T-Test to show the effect:</div>
<pre style="border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; border: 1px solid #cccccc; box-sizing: border-box; color: #333333; font-size: 13px; line-height: 1.42857143; margin: 0px 0px 10px; overflow: auto; padding: 9.5px; word-break: break-all; word-wrap: break-word;"><code style="background-color: transparent; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; box-sizing: border-box; color: inherit; font-size: inherit; padding: 0px; white-space: pre-wrap;">## Welch Two Sample t-test ## t = 7.0834, df = 28.313, p-value = 9.835e-08 </code><span style="background-color: transparent; color: inherit; font-size: inherit; line-height: 1.42857143; white-space: pre-wrap;">## alternative hypothesis: true difference in means is not equal to 0 ## 95 percent confidence interval: ## 15.88029 28.79244 ## sample estimates: ## mean of x mean of y ## 71.20000 48.86364</span></pre>
<div style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px; margin: 0px 0px 10px;">My fellow Seattle Quantified-Selfer Mark Drangsholt, <a style="background-color: transparent; box-sizing: border-box; color: #337ab7; text-decoration: none;" href="http://quantifiedself.com/2014/08/mark-drangsholt-deciphering-brain-fog/">who studied something similar on himself</a>, says 2-3 weeks of treatment helped him reduce or eliminate brain fog and it appears to help me too. This is consistent with other research that shows that statins seem to <a style="background-color: transparent; box-sizing: border-box; color: #337ab7; text-decoration: none;" href="http://www.alzdiscovery.org/cognitive-vitality/condition/statins-for-management-of-high-cholesterol#collapse_biology">benefit the brain</a>.</div>
<div style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px; margin: 0px 0px 10px;">Incidentally, the statin had no significant effect on my sleep (as measured with Zeo):</div>
<table class="table table-condensed" style="background-color: transparent; border-collapse: collapse; border-spacing: 0px; box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px; margin-bottom: 20px; max-width: 100%; width: 480px;">
<thead style="box-sizing: border-box;">
<tr class="header" style="box-sizing: border-box;"><th style="border-bottom-color: #dddddd; border-bottom-style: solid; border-bottom-width: 2px; border-top-width: 0px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: bottom;" align="left">Sleep (n=33)</th><th style="border-bottom-color: #dddddd; border-bottom-style: solid; border-bottom-width: 2px; border-top-width: 0px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: bottom;" align="left">Average (hrs)</th><th style="border-bottom-color: #dddddd; border-bottom-style: solid; border-bottom-width: 2px; border-top-width: 0px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: bottom;" align="left">Standard Deviation</th><th style="border-bottom-color: #dddddd; border-bottom-style: solid; border-bottom-width: 2px; border-top-width: 0px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: bottom;" align="left">w/Statin (n=15)</th></tr>
</thead>
<tbody style="box-sizing: border-box;">
<tr class="odd" style="box-sizing: border-box;">
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">total sleep (Z)</td>
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">6.418</td>
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">0.625</td>
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">6.424 (SD=0.58)</td>
</tr>
<tr class="even" style="box-sizing: border-box;">
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">REM</td>
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">1.796</td>
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">0.416</td>
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">1.814 (SD=0.44)</td>
</tr>
<tr class="odd" style="box-sizing: border-box;">
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">Deep</td>
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">1.039</td>
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">0.198</td>
<td style="border-top-color: #dddddd; border-top-style: solid; border-top-width: 1px; box-sizing: border-box; line-height: 1.42857143; padding: 5px; vertical-align: top;" align="left">1.006 (SD=0.13)</td>
</tr>
</tbody>
</table>
<div style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 14px; line-height: 20px; margin: 0px 0px 10px;">I’ve <a style="background-color: transparent; box-sizing: border-box; color: #337ab7; text-decoration: none;" href="http://rpubs.com/Sprague/60557">already demonstrated</a> that two or three Kirkland fish oil pills taken daily give me a <a style="background-color: transparent; box-sizing: border-box; color: #337ab7; text-decoration: none;" href="http://blog.richardsprague.com/2015/02/fish-oil-makes-me-smarter.html">statistically-significant higher score</a>, while other obvious candidates like sleep or alcohol make no difference. Seth’s app clearly is measuring <em style="box-sizing: border-box;">something</em>. In my next experiments, I’ll try to pin down more precisely <em style="box-sizing: border-box;">what</em> that is as I refine the app to make it easier and faster to use.</div>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.comtag:blogger.com,1999:blog-8203221.post-75611581663478541032015-04-04T14:41:00.001-07:002015-04-04T14:41:29.927-07:00Data is not a substitute for strategy<p>When I was in grad school, my data sciences class assigned us this incredibly complex optimization problem where we were supposed to recommend the best place to locate a series of factories given expected product demand, availability of suppliers, distance to customers, wage and materials costs, etc. It was too complicated to solve on a normal PC with off-the-shelf software, so the other students simply gave up treating this as a data optimization problem and instead made recommendations based on strategic considerations.</p>
<p>Me? No, I used brute force: I rewrote the software to run on the more powerful and expensive campus mainframe, applying every trick I knew until I found the “correct” answer. It was tough, and at the time I was quite proud of my computer skills, thinking somehow I had bettered my fellow students.</p>
<p>But when I saw the other answers, I realized how silly I was to think that data could beat strategy. Sure, with sufficient computation power I was able to identify a mathematically-provable solution given <em>today’s</em> data. But who cares? Data keeps changing. It’ll be months, maybe years before some of those factories are operating, by which time all my data assumptions would have been irrelevant. Good strategic thinking, on the other hand, doesn’t depend on fluctuations in the data.</p>
<p>I’m reminded of that lesson in <a href="http://theincidentaleconomist.com/wordpress/responding-to-mark-cuban-more-is-not-always-better/">this post from Aaron Carroll</a> (at the Incidental Economist blog), responding to <a href="https://twitter.com/mcuban/status/583366647987093504">Mark Cuban’s advice</a> that everyone get their blood tested quarterly. Data, says Carroll, is not the problem. If you think that more data is always better, you will likely miss the forest for the trees. Or as the post says:</p>
<blockquote><p>“Ordering a lab test is like picking your nose in public. If you find something, you better know what you’re going to do with it.”</p></blockquote>
<a href="https://www.flickr.com/photos/deepfrozen/2191036528" title="Pony by Deep Frozen Shutterbug, on Flickr"><img src="https://farm3.staticflickr.com/2410/2191036528_22cff935bb_n.jpg" width="320" height="213" alt="Pony"></a>Richard Spraguehttp://www.blogger.com/profile/03470273961021829567noreply@blogger.com